Summary
AI & Machine Learning
Energy
Financial Services
Life Sciences
Media & Entertainment
Product Design
Productivity & Development
Subsystem Scores
Workload Scores
Configuration
SPECworkstation® 4.0.0 Summary
Not An Official Submission Candidate
19 of 21 workloads produced scores
System Configuration
| Manufacturer | ASUSTeK COMPUTER INC. |
| Model | RS720-E12-RS24G |
| CPU | 2x Intel(R) Xeon(R) 6505P |
| Memory | 64.00 GB @ 4800 MHz |
| GPU | ASPEED Graphics Family(WDDM) |
| Display | Unknown |
| Storage | Drive 1: Intel Raid Volume 226.55 GB - SCSI Drive 2: BROADCOM MR9560-16i SCSI Disk Device 3575.93 GB - SCSI Drive 3: Intel Raid Volume 849.54 GB - SCSI |
| OS | Microsoft Windows Server 2025 Standard (26100) |
Submission Details
| Result Date | Thu Jul 02 2026 01:10:27 GMT+0300 (GMT+03:00) |
| Submitter Company | |
| Submitter Name | |
| Submitter Comments |
Industry Vertical Scores
Financial Services |
2.58 |
Hardware Subsystem Scores
| CPU | 1.94 |
| Workload | SPEC Ratio |
|---|---|
| 7-Zip | 0.78 |
| Autodesk Inventor | 0.79 |
| Blender | 2.58 |
| Convolution | 2.63 |
| Data Science | 1.48 |
| Hidden Line Removal | 1.12 |
| LAMMPS | 2.56 |
| LLVM Clang | 2.15 |
| LuxCoreRender | 2.33 |
| MFEM | 1.90 |
| NAMD | 2.35 |
| Octave | 0.84 |
| OpenFOAM | 10.60 |
| Options Pricing | 2.58 |
| Poisson | 2.29 |
| Python 3 | 1.16 |
| Rodinia CFD | 2.18 |
| Rodinia Life Sciences | 2.51 |
| SRMP | 2.39 |
Industry Vertical Scores
| AI & Machine Learning | ||||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Data Science |
|
|||
| Pandas | 131.99 |
145.81
|
sec |
0.91
|
| Scikit-learn | 449.17 |
168.93
|
sec |
2.66
|
| XGBoost | 91.50 |
67.12
|
sec |
1.36
|
| ONNX Inference |
|
|||
| CPU ResNet50-FP32-batch8 Latency | 63.72 |
35.23
|
ms |
1.81
|
| CPU ResNet50-FP32-batch8 Throughput | 18.33 |
47.54
|
inferences/sec |
2.59
|
| CPU ResNet50-INT8-batch8 Latency | 22.37 |
9.92
|
ms |
2.25
|
| CPU ResNet50-INT8-batch8 Throughput | 46.62 |
140.90
|
inferences/sec |
3.02
|
| CPU SuperResolution-FP32-batch8 Latency | 58.42 |
31.03
|
ms |
1.88
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
61.44
|
inferences/sec |
2.94
|
| CPU SuperResolution-INT8-batch8 Latency | 21.34 |
16.09
|
ms |
1.33
|
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
113.92
|
inferences/sec |
2.04
|
Industry Vertical Scores
| Energy | ||||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Convolution |
|
|||
| 20K/100 | 0.09 |
0.24
|
iterations/sec |
2.63
|
| Poisson |
|
|||
| Jacobi Rectangular Grid | 16.05 |
48.03
|
iterations/sec |
2.99
|
| Jacobi Square Grid | 6.19 |
10.83
|
iterations/sec |
1.75
|
| SRMP |
|
|||
| 2D | 19.45 |
8.15
|
sec |
2.39
|
Industry Vertical Scores
| Financial Services | 2.58 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Options Pricing |
|
|||
| Monte Carlo | 35137.48 |
102064.00
|
options/sec |
2.90
|
| Black-Scholes | 3389.63 |
10452.00
|
Moptions/sec |
3.08
|
| Binomial | 79377.62 |
152317.67
|
options/sec |
1.92
|
Industry Vertical Scores
| Life Sciences | ||||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| LAMMPS |
|
|||
| LJ | 705.82 |
2002.64
|
tau/day |
2.84
|
| CHAIN | 1190.35 |
3096.65
|
tau/day |
2.60
|
| EAM | 0.63 |
1.65
|
ns/day |
2.62
|
| CHUTE | 38.25 |
76.19
|
tau/day |
1.99
|
| RHODO | 0.26 |
0.74
|
ns/day |
2.83
|
| NAMD |
|
|||
| apoa1 | 45.38 |
18.75
|
ms/step |
2.42
|
| f1atpase | 130.50 |
57.90
|
ms/step |
2.25
|
| stmv | 448.57 |
188.31
|
ms/step |
2.38
|
| Rodinia Life Sciences |
|
|||
| Heart Wall | 0.69 |
2.28
|
fps |
3.30
|
| HotSpot | 8.55 |
3.05
|
sec |
2.80
|
| LavaMD | 0.07 |
0.17
|
iterations/sec |
2.44
|
| SRAD | 47.04 |
83.34
|
iterations/sec |
1.77
|
Industry Vertical Scores
| Media & Entertainment | ||||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Blender |
|
|||
| Classroom | 281.72 |
35.30
|
sec |
7.98
|
| BMW27 | 43.82 |
16.97
|
sec |
2.58
|
| BMW1M | 17.74 |
6.67
|
sec |
2.66
|
| Island | 29.68 |
36.84
|
sec |
0.81
|
| HandBrake |
|
|||
| SVT-AV1 8K to 4K | 195.16 |
124.00
|
sec |
1.57
|
| x265 4K to 1080p | 38.36 |
25.14
|
sec |
1.53
|
| x265 4K to 4K | 107.73 |
67.27
|
sec |
1.60
|
| x264 1080p to 1080p | 49.98 |
9.63
|
sec |
5.19
|
| LuxCoreRender |
|
|||
| DLSC | 2.46 |
6.03
|
Msamples/sec |
2.45
|
| Food | 1.84 |
4.53
|
Msamples/sec |
2.46
|
| Danish Mood | 2.29 |
4.39
|
Msamples/sec |
1.92
|
| Procedural Leaves | 1.10 |
2.82
|
Msamples/sec |
2.56
|
Industry Vertical Scores
| Product Design | ||||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Autodesk Inventor |
|
|||
| Open Document | 4253.73 |
5167.00
|
ms |
0.82
|
| Create/Update Files | 4973.68 |
7197.00
|
ms |
0.69
|
| Rebuild | 10590.28 |
13109.00
|
ms |
0.81
|
| Render Style/Material | 628.78 |
740.00
|
ms |
0.85
|
| Hidden Line Removal |
|
|||
| Palatov | 24.29 |
27.27
|
fps |
1.12
|
| MFEM |
|
|||
| Dynamic AMR | 227.39 |
119.95
|
sec |
1.90
|
| OpenFOAM |
|
|||
| XiFoam Solver | 803.27 |
75.95
|
sec |
10.60
|
| Rodinia CFD |
|
|||
| Pre-Euler | 138.14 |
301.20
|
iterations/sec |
2.18
|
Industry Vertical Scores
| Productivity & Development | ||||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| 7-Zip |
|
|||
| Decompression | 16.04 |
23.16
|
sec |
0.69
|
| Compression | 254.57 |
309.77
|
sec |
0.82
|
| LLVM Clang |
|
|||
| PyTorch | 562.76 |
261.36
|
sec |
2.15
|
| Octave |
|
|||
| obench | 1.20 |
1.39
|
sec/operation |
0.86
|
| benchmark2 | 0.11 |
0.13
|
sec/operation |
0.82
|
| Python 3 |
|
|||
| NumPy Create Matrix | 0.36 |
0.61
|
sec |
0.59
|
| NumPy Add Matrix | 4.44 |
6.07
|
sec |
0.73
|
| NumPy Multiply Matrix | 8.06 |
6.21
|
sec |
1.30
|
| NumPy Invert Matrix | 15.53 |
14.49
|
sec |
1.07
|
| NumPy Sin Matrix | 2.67 |
3.30
|
sec |
0.81
|
| Multi-Matrix | 65.50 |
42.05
|
sec |
1.56
|
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|
1.94
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| 7-Zip |
|
|||
| Decompression | 16.04 |
23.16
|
sec |
0.69
|
| Compression | 254.57 |
309.77
|
sec |
0.82
|
| Autodesk Inventor |
|
|||
| Open Document | 4253.73 |
5167.00
|
ms |
0.82
|
| Create/Update Files | 4973.68 |
7197.00
|
ms |
0.69
|
| Rebuild | 10590.28 |
13109.00
|
ms |
0.81
|
| Render Style/Material | 628.78 |
740.00
|
ms |
0.85
|
| Blender |
|
|||
| Classroom | 281.72 |
35.30
|
sec |
7.98
|
| BMW27 | 43.82 |
16.97
|
sec |
2.58
|
| BMW1M | 17.74 |
6.67
|
sec |
2.66
|
| Island | 29.68 |
36.84
|
sec |
0.81
|
| Convolution |
|
|||
| 20K/100 | 0.09 |
0.24
|
iterations/sec |
2.63
|
| Data Science |
|
|||
| Pandas | 131.99 |
145.81
|
sec |
0.91
|
| Scikit-learn | 449.17 |
168.93
|
sec |
2.66
|
| XGBoost | 91.50 |
67.12
|
sec |
1.36
|
| HandBrake |
|
|||
| SVT-AV1 8K to 4K | 195.16 |
124.00
|
sec |
1.57
|
| x265 4K to 1080p | 38.36 |
25.14
|
sec |
1.53
|
| x265 4K to 4K | 107.73 |
67.27
|
sec |
1.60
|
| x264 1080p to 1080p | 49.98 |
9.63
|
sec |
5.19
|
| Hidden Line Removal |
|
|||
| Palatov | 24.29 |
27.27
|
fps |
1.12
|
| LAMMPS |
|
|||
| LJ | 705.82 |
2002.64
|
tau/day |
2.84
|
| CHAIN | 1190.35 |
3096.65
|
tau/day |
2.60
|
| EAM | 0.63 |
1.65
|
ns/day |
2.62
|
| CHUTE | 38.25 |
76.19
|
tau/day |
1.99
|
| RHODO | 0.26 |
0.74
|
ns/day |
2.83
|
| LLVM Clang |
|
|||
| PyTorch | 562.76 |
261.36
|
sec |
2.15
|
| LuxCoreRender |
|
|||
| DLSC | 2.46 |
6.03
|
Msamples/sec |
2.45
|
| Food | 1.84 |
4.53
|
Msamples/sec |
2.46
|
| Danish Mood | 2.29 |
4.39
|
Msamples/sec |
1.92
|
| Procedural Leaves | 1.10 |
2.82
|
Msamples/sec |
2.56
|
| MFEM |
|
|||
| Dynamic AMR | 227.39 |
119.95
|
sec |
1.90
|
| NAMD |
|
|||
| apoa1 | 45.38 |
18.75
|
ms/step |
2.42
|
| f1atpase | 130.50 |
57.90
|
ms/step |
2.25
|
| stmv | 448.57 |
188.31
|
ms/step |
2.38
|
| Octave |
|
|||
| obench | 1.20 |
1.39
|
sec/operation |
0.86
|
| benchmark2 | 0.11 |
0.13
|
sec/operation |
0.82
|
| ONNX Inference |
|
|||
| CPU ResNet50-FP32-batch8 Latency | 63.72 |
35.23
|
ms |
1.81
|
| CPU ResNet50-FP32-batch8 Throughput | 18.33 |
47.54
|
inferences/sec |
2.59
|
| CPU ResNet50-INT8-batch8 Latency | 22.37 |
9.92
|
ms |
2.25
|
| CPU ResNet50-INT8-batch8 Throughput | 46.62 |
140.90
|
inferences/sec |
3.02
|
| CPU SuperResolution-FP32-batch8 Latency | 58.42 |
31.03
|
ms |
1.88
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
61.44
|
inferences/sec |
2.94
|
| CPU SuperResolution-INT8-batch8 Latency | 21.34 |
16.09
|
ms |
1.33
|
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
113.92
|
inferences/sec |
2.04
|
| OpenFOAM |
|
|||
| XiFoam Solver | 803.27 |
75.95
|
sec |
10.60
|
| Options Pricing |
|
|||
| Monte Carlo | 35137.48 |
102064.00
|
options/sec |
2.90
|
| Black-Scholes | 3389.63 |
10452.00
|
Moptions/sec |
3.08
|
| Binomial | 79377.62 |
152317.67
|
options/sec |
1.92
|
| Poisson |
|
|||
| Jacobi Rectangular Grid | 16.05 |
48.03
|
iterations/sec |
2.99
|
| Jacobi Square Grid | 6.19 |
10.83
|
iterations/sec |
1.75
|
| Python 3 |
|
|||
| NumPy Create Matrix | 0.36 |
0.61
|
sec |
0.59
|
| NumPy Add Matrix | 4.44 |
6.07
|
sec |
0.73
|
| NumPy Multiply Matrix | 8.06 |
6.21
|
sec |
1.30
|
| NumPy Invert Matrix | 15.53 |
14.49
|
sec |
1.07
|
| NumPy Sin Matrix | 2.67 |
3.30
|
sec |
0.81
|
| Multi-Matrix | 65.50 |
42.05
|
sec |
1.56
|
| Rodinia CFD |
|
|||
| Pre-Euler | 138.14 |
301.20
|
iterations/sec |
2.18
|
| Rodinia Life Sciences |
|
|||
| Heart Wall | 0.69 |
2.28
|
fps |
3.30
|
| HotSpot | 8.55 |
3.05
|
sec |
2.80
|
| LavaMD | 0.07 |
0.17
|
iterations/sec |
2.44
|
| SRAD | 47.04 |
83.34
|
iterations/sec |
1.77
|
| SRMP |
|
|||
| 2D | 19.45 |
8.15
|
sec |
2.39
|
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|---|---|
| 7-Zip | Jul 2, 2026, 1:10:27 AM GMT+3 |
0.78
|
||||
| Decompression | 23.16 sec | 16.04 |
23.16
|
sec |
0.69
|
|
| Compression | 309.77 sec | 254.57 |
309.77
|
sec |
0.82
|
|
| Autodesk Inventor | Jul 2, 2026, 1:16:05 AM GMT+3 |
0.79
|
||||
| Open Document | 5.43 sec | 4253.73 |
5167.00
|
ms |
0.82
|
|
| Create/Update Files | 9.16 sec | 4973.68 |
7197.00
|
ms |
0.69
|
|
| Rebuild | 13.33 sec | 10590.28 |
13109.00
|
ms |
0.81
|
|
| Render Style/Material | 0.99 sec | 628.78 |
740.00
|
ms |
0.85
|
|
| Blender | Jul 2, 2026, 1:17:28 AM GMT+3 |
2.58
|
||||
| Classroom | 35.30 sec | 281.72 |
35.30
|
sec |
7.98
|
|
| BMW27 | 16.97 sec | 43.82 |
16.97
|
sec |
2.58
|
|
| BMW1M | 6.67 sec | 17.74 |
6.67
|
sec |
2.66
|
|
| Island | 36.84 sec | 29.68 |
36.84
|
sec |
0.81
|
|
| Convolution | Jul 2, 2026, 1:19:09 AM GMT+3 |
2.63
|
||||
| 20K/100 | 36.30 sec | 0.09 |
0.24
|
iterations/sec |
2.63
|
|
| Data Science | Jul 2, 2026, 1:19:46 AM GMT+3 |
1.48
|
||||
| Pandas | 162.98 sec | 131.99 |
145.81
|
sec |
0.91
|
|
| Scikit-learn | 174.60 sec | 449.17 |
168.93
|
sec |
2.66
|
|
| XGBoost | 93.88 sec | 91.50 |
67.12
|
sec |
1.36
|
|
| HandBrake | Jul 2, 2026, 1:27:19 AM GMT+3 |
|
||||
| SVT-AV1 8K to 4K | 124.00 sec | 195.16 |
124.00
|
sec |
1.57
|
|
| x265 4K to 1080p | 26.79 sec | 38.36 |
25.14
|
sec |
1.53
|
|
| x265 4K to 4K | 69.07 sec | 107.73 |
67.27
|
sec |
1.60
|
|
| x264 1080p to 1080p | 9.63 sec | 49.98 |
9.63
|
sec |
5.19
|
|
| Hidden Line Removal | Jul 2, 2026, 1:31:18 AM GMT+3 |
1.12
|
||||
| Palatov | 22.25 sec | 24.29 |
27.27
|
fps |
1.12
|
|
| Palatov | 18.99 sec | 24.29 |
23.64
|
fps |
0.97
|
|
| LAMMPS | Jul 2, 2026, 1:32:01 AM GMT+3 |
2.56
|
||||
| LJ | 7.99 sec | 705.82 |
2002.64
|
tau/day |
2.84
|
|
| CHAIN | 8.84 sec | 1190.35 |
3096.65
|
tau/day |
2.60
|
|
| EAM | 8.81 sec | 0.63 |
1.65
|
ns/day |
2.62
|
|
| CHUTE | 5.84 sec | 38.25 |
76.19
|
tau/day |
1.99
|
|
| RHODO | 4.55 sec | 0.26 |
0.74
|
ns/day |
2.83
|
|
| LLVM Clang | Jul 2, 2026, 1:32:39 AM GMT+3 |
2.15
|
||||
| PyTorch | 286.54 sec | 562.76 |
261.36
|
sec |
2.15
|
|
| LuxCoreRender | Jul 2, 2026, 1:39:09 AM GMT+3 |
2.33
|
||||
| DLSC | 9.83 sec | 2.46 |
6.03
|
Msamples/sec |
2.45
|
|
| Food | 15.36 sec | 1.84 |
4.53
|
Msamples/sec |
2.46
|
|
| Danish Mood | 35.15 sec | 2.29 |
4.39
|
Msamples/sec |
1.92
|
|
| Procedural Leaves | 20.21 sec | 1.10 |
2.82
|
Msamples/sec |
2.56
|
|
| MFEM | Jul 2, 2026, 1:40:30 AM GMT+3 |
1.90
|
||||
| Dynamic AMR | 119.95 sec | 227.39 |
119.95
|
sec |
1.90
|
|
| NAMD | Jul 2, 2026, 1:42:31 AM GMT+3 |
2.35
|
||||
| apoa1 | 10.76 sec | 45.38 |
18.75
|
ms/step |
2.42
|
|
| f1atpase | 17.95 sec | 130.50 |
57.90
|
ms/step |
2.25
|
|
| stmv | 35.19 sec | 448.57 |
188.31
|
ms/step |
2.38
|
|
| Octave | Jul 2, 2026, 1:43:36 AM GMT+3 |
0.84
|
||||
| obench | 71.55 sec | 1.20 |
1.39
|
sec/operation |
0.86
|
|
| benchmark2 | 11.18 sec | 0.11 |
0.13
|
sec/operation |
0.82
|
|
| ONNX Inference | Jul 2, 2026, 1:45:14 AM GMT+3 |
|
||||
| CPU ResNet50-FP32-batch8 Latency | 20.45 sec | 63.72 |
35.23
|
ms |
1.81
|
|
| CPU ResNet50-FP32-batch8 Throughput | 21.29 sec | 18.33 |
47.54
|
inferences/sec |
2.59
|
|
| CPU ResNet50-FP32-batch8 Throughput | 21.86 sec | 18.33 |
39.36
|
inferences/sec |
2.15
|
|
| CPU ResNet50-INT8-batch8 Latency | 20.19 sec | 22.37 |
9.92
|
ms |
2.25
|
|
| CPU ResNet50-INT8-batch8 Throughput | 20.49 sec | 46.62 |
140.90
|
inferences/sec |
3.02
|
|
| CPU ResNet50-INT8-batch8 Throughput | 20.69 sec | 46.62 |
111.96
|
inferences/sec |
2.40
|
|
| CPU SuperResolution-FP32-batch8 Latency | 20.16 sec | 58.42 |
31.03
|
ms |
1.88
|
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.98 sec | 20.87 |
61.44
|
inferences/sec |
2.94
|
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.52 sec | 20.87 |
40.46
|
inferences/sec |
1.94
|
|
| CPU SuperResolution-INT8-batch8 Latency | 20.14 sec | 21.34 |
16.09
|
ms |
1.33
|
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.59 sec | 55.92 |
113.92
|
inferences/sec |
2.04
|
|
| CPU SuperResolution-INT8-batch8 Throughput | 20.74 sec | 55.92 |
74.91
|
inferences/sec |
1.34
|
|
| OpenFOAM | Jul 2, 2026, 1:49:26 AM GMT+3 |
10.60
|
||||
| XiFoam Solver | 93.94 sec | 803.27 |
75.95
|
sec |
10.60
|
|
| XiFoam Solver | 102.34 sec | 803.27 |
89.09
|
sec |
9.02
|
|
| Options Pricing | Jul 2, 2026, 1:52:48 AM GMT+3 |
2.58
|
||||
| Monte Carlo | 10.38 sec | 35137.48 |
102064.00
|
options/sec |
2.90
|
|
| Black-Scholes | 7.97 sec | 3389.63 |
10452.00
|
Moptions/sec |
3.08
|
|
| Binomial | 6.96 sec | 79377.62 |
152317.67
|
options/sec |
1.92
|
|
| Poisson | Jul 2, 2026, 1:53:14 AM GMT+3 |
2.29
|
||||
| Jacobi Rectangular Grid | 10.06 sec | 16.05 |
48.03
|
iterations/sec |
2.99
|
|
| Jacobi Rectangular Grid | 10.08 sec | 16.05 |
23.59
|
iterations/sec |
1.47
|
|
| Jacobi Square Grid | 10.09 sec | 6.19 |
10.83
|
iterations/sec |
1.75
|
|
| Jacobi Square Grid | 10.15 sec | 6.19 |
7.90
|
iterations/sec |
1.28
|
|
| Python 3 | Jul 2, 2026, 1:53:55 AM GMT+3 |
1.16
|
||||
| NumPy Create Matrix | 3.00 sec | 0.36 |
0.61
|
sec |
0.59
|
|
| NumPy Add Matrix | 7.06 sec | 4.44 |
6.07
|
sec |
0.73
|
|
| NumPy Multiply Matrix | 7.21 sec | 8.06 |
6.21
|
sec |
1.30
|
|
| NumPy Invert Matrix | 15.53 sec | 15.53 |
14.49
|
sec |
1.07
|
|
| NumPy Sin Matrix | 4.28 sec | 2.67 |
3.30
|
sec |
0.81
|
|
| Multi-Matrix | 43.04 sec | 65.50 |
42.05
|
sec |
1.56
|
|
| Rodinia CFD | Jul 2, 2026, 1:55:29 AM GMT+3 |
2.18
|
||||
| Pre-Euler | 33.46 sec | 138.14 |
301.20
|
iterations/sec |
2.18
|
|
| Rodinia Life Sciences | Jul 2, 2026, 1:56:04 AM GMT+3 |
2.51
|
||||
| Heart Wall | 10.40 sec | 0.69 |
2.28
|
fps |
3.30
|
|
| HotSpot | 4.44 sec | 8.55 |
3.05
|
sec |
2.80
|
|
| LavaMD | 12.10 sec | 0.07 |
0.17
|
iterations/sec |
2.44
|
|
| SRAD | 10.28 sec | 47.04 |
83.34
|
iterations/sec |
1.77
|
|
| SRMP | Jul 2, 2026, 1:56:42 AM GMT+3 |
2.39
|
||||
| 2D | 8.76 sec | 19.45 |
8.15
|
sec |
2.39
|
System Configuration Details
MOTHERBOARD
Name: Z14PP-D32 SeriesModel: RS720-E12-RS24G
Version: 60SB0D50-SB0B04
Manufacturer: ASUSTeK COMPUTER INC.
Serial Number: 260169141100148
BIOS: American Megatrends Inc. 0902
BIOS Version: ALASKA - 1072009 (2026-04-30)
PROCESSOR
CPU #1: Intel(R) Xeon(R) 6505P (2200MHz / 12C / 24T)CPU #2: Intel(R) Xeon(R) 6505P (2200MHz / 12C / 24T)
MEMORY
BANK 0 (CPU1_DIMM_A1): Samsung M321R2GA3BB6-CQKET (16.00 GB / 4800 MHz / DDR5)BANK 2 (CPU1_DIMM_C1): Samsung M321R2GA3BB6-CQKET (16.00 GB / 4800 MHz / DDR5)
BANK 8 (CPU2_DIMM_A1): Samsung M321R2GA3BB6-CQKET (16.00 GB / 4800 MHz / DDR5)
BANK 10 (CPU2_DIMM_C1): Samsung M321R2GA3BB6-CQKET (16.00 GB / 4800 MHz / DDR5)
Total Memory: 64.00 GB
STORAGE
Disk #1: Intel Raid Volume (226.55 GB - SCSI)Partition 1: GPT: System (0.20 GB)
Partition 2: GPT: Basic Data (225.53 GB)
Partition 3: GPT: Unknown (0.81 GB)
Disk #2: BROADCOM MR9560-16i SCSI Disk Device (3575.93 GB - SCSI)
Partition 1: GPT: Basic Data (3575.92 GB)
Disk #3: Intel Raid Volume (849.54 GB - SCSI)
Partition 1: GPT: Basic Data (849.52 GB)
Available Volumes
C: (): NTFS (159.79 GB of 225.53 GB Available)
N: (DATA5): NTFS (3575.71 GB of 3575.92 GB Available)
O: (DATA1): NTFS (849.40 GB of 849.52 GB Available)
NETWORK
Adapter #1: Intel(R) Ethernet Server Adapter I350-T2Type: Ethernet 802.3 | MAC: A0:36:9F:01:72:7F | Speed: Not Connected
Adapter #2: Intel(R) Ethernet Server Adapter I350-T2 #2
Type: Ethernet 802.3 | MAC: A0:36:9F:01:72:7E | Speed: 1000.00 Mbit
GRAPHICS
Adapter #1: ASPEED Graphics Family(WDDM)Video Memory: 0.06 GB
Current Resolution: 1920x1080 @ 60 Hz (32-bit Color)
Driver Version: 9.0.10.116 (2026-02-10)
DISPLAY
No Physical Displays DetectedWindows Screens
Screen 1: 1920x1080 @ 32 bpp
OPERATING SYSTEM
Name: Microsoft Windows Server 2025 Standard 64-bitVersion: 10.0.26100.32995 (Release 2009)
Installation Date: 2026-06-29
Free Memory: 57.60 GB (Physical) | 66.48 GB (Virtual) | 9.50 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Not Running
Active Power Plan: High performance (8c5e7fda-e8bf-4a96-9a85-a6e23a8c635c)