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
Official Submission Candidate
23 of 23 workloads produced scores
System Configuration
Manufacturer | Dell Inc. |
Model | Precision 5860 Tower |
CPU | Intel(R) Xeon(R) w7-2475X |
Memory | 128.00 GB @ 4400 MHz |
GPU | AMD Radeon PRO W7700 |
Display | DELL P2720D 27.2" (2560x1440) |
Storage | NVMe PC SN810 NVMe WD 1907.73 GB - SCSI |
OS | Microsoft Windows 11 Pro for Workstations (22631) |
Submission Details
Result Date | Wed Nov 20 2024 01:26:02 GMT-0800 (Pacific Standard Time) |
Submitter Company | |
Submitter Name | |
Submitter Comments |
Industry Vertical Scores
AI & Machine Learning |
2.47 |
Energy |
2.45 |
Financial Services |
1.82 |
Life Sciences |
2.27 |
Media & Entertainment |
2.21 |
Product Design |
2.13 |
Productivity & Development |
1.36 |
Hardware Subsystem Scores
CPU | 1.92 |
Accelerator | 4.56 |
Graphics | 7.86 |
Storage | 0.74 |
Workload | SPEC Ratio |
---|---|
7-Zip | 3.05 |
Autodesk Inventor | 0.92 |
Blender | 2.21 |
Convolution | 2.06 |
Data Science | 1.55 |
HandBrake | 1.94 |
Hidden Line Removal | 1.24 |
LAMMPS | 2.25 |
LLVM Clang | 1.84 |
LuxCoreRender | 1.99 |
MFEM | 1.83 |
NAMD | 1.72 |
Octave | 0.93 |
ONNX Inference | 3.94 |
OpenFOAM | 9.78 |
Options Pricing | 1.82 |
Poisson | 2.31 |
Python 3 | 1.30 |
Rodinia CFD | 2.52 |
Rodinia Life Sciences | 2.03 |
SRMP | 1.87 |
Viewport Graphics | 7.86 |
WPCstorage | 0.74 |
Industry Vertical Scores
AI & Machine Learning | 2.47 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Data Science |
|
|||
Pandas | 131.99 |
121.76
|
sec |
1.08
|
Scikit-learn | 449.17 |
208.55
|
sec |
2.15
|
XGBoost | 91.50 |
56.98
|
sec |
1.61
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
24.71
|
ms |
2.58
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
47.69
|
inferences/sec |
2.60
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
10.10
|
ms |
2.21
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
145.60
|
inferences/sec |
3.12
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
23.17
|
ms |
2.52
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
58.87
|
inferences/sec |
2.82
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
13.16
|
ms |
1.62
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
127.65
|
inferences/sec |
2.28
|
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
35.36
|
inferences/sec |
9.02
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
47.85
|
inferences/sec |
24.90
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
34.97
|
inferences/sec |
5.31
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
18.56
|
inferences/sec |
9.66
|
Industry Vertical Scores
Energy | 2.45 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Convolution |
|
|||
20K/100 | 0.09 |
0.19
|
iterations/sec |
2.06
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
39.36
|
iterations/sec |
2.45
|
Jacobi Square Grid | 6.19 |
13.49
|
iterations/sec |
2.18
|
SRMP |
|
|||
2D | 19.45 |
10.43
|
sec |
1.87
|
Viewport Graphics |
|
|||
energy | 11.48 |
128.99
|
fps |
11.20
|
WPCstorage |
|
|||
energy | 1547.93 |
1366.92
|
points |
0.88
|
Industry Vertical Scores
Financial Services | 1.82 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
67934.26
|
options/sec |
1.93
|
Black-Scholes | 3389.63 |
7268.01
|
Moptions/sec |
2.14
|
Binomial | 79377.62 |
115362.84
|
options/sec |
1.45
|
Industry Vertical Scores
Life Sciences | 2.27 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
LAMMPS |
|
|||
LJ | 705.82 |
1572.17
|
tau/day |
2.23
|
CHAIN | 1190.35 |
3194.47
|
tau/day |
2.68
|
EAM | 0.63 |
1.37
|
ns/day |
2.18
|
CHUTE | 38.25 |
79.98
|
tau/day |
2.09
|
RHODO | 0.26 |
0.55
|
ns/day |
2.13
|
NAMD |
|
|||
apoa1 | 45.38 |
27.70
|
ms/step |
1.64
|
f1atpase | 130.50 |
76.90
|
ms/step |
1.70
|
stmv | 448.57 |
243.72
|
ms/step |
1.84
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
1.55
|
fps |
2.24
|
HotSpot | 8.55 |
3.98
|
sec |
2.15
|
LavaMD | 0.07 |
0.12
|
iterations/sec |
1.77
|
SRAD | 47.04 |
93.51
|
iterations/sec |
1.99
|
Viewport Graphics |
|
|||
medical | 9.63 |
113.02
|
fps |
11.70
|
WPCstorage |
|
|||
namd | 1250.61 |
824.62
|
points |
0.66
|
Industry Vertical Scores
Media & Entertainment | 2.21 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Blender |
|
|||
Classroom | 281.72 |
47.10
|
sec |
5.98
|
BMW27 | 43.82 |
23.25
|
sec |
1.88
|
BMW1M | 17.74 |
9.55
|
sec |
1.86
|
Island | 29.68 |
26.02
|
sec |
1.14
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
152.54
|
sec |
1.28
|
x265 4K to 1080p | 38.36 |
28.21
|
sec |
1.36
|
x265 4K to 4K | 107.73 |
64.83
|
sec |
1.66
|
x264 1080p to 1080p | 49.98 |
11.02
|
sec |
4.54
|
GPU H.265 4K to 4K | 169.65 |
199.63
|
fps |
1.18
|
GPU H.265 4K to 1080p | 128.84 |
440.40
|
fps |
3.42
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
5.04
|
Msamples/sec |
2.05
|
Food | 1.84 |
3.92
|
Msamples/sec |
2.13
|
Danish Mood | 2.29 |
4.01
|
Msamples/sec |
1.75
|
Procedural Leaves | 1.10 |
2.25
|
Msamples/sec |
2.05
|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
170.38
|
fps |
10.70
|
maya | 62.09 |
446.16
|
fps |
7.19
|
WPCstorage |
|
|||
3dsmax | 3299.42 |
1840.47
|
points |
0.56
|
handbrake | 1897.99 |
2019.14
|
points |
1.06
|
maya | 2037.06 |
952.63
|
points |
0.47
|
MayaVenice | 472.63 |
326.93
|
points |
0.69
|
MandE | 1625.72 |
1443.79
|
points |
0.89
|
Industry Vertical Scores
Product Design | 2.13 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
4793.00
|
ms |
0.89
|
Create/Update Files | 4973.68 |
5496.00
|
ms |
0.91
|
Rebuild | 10590.28 |
11299.00
|
ms |
0.94
|
Render Style/Material | 628.78 |
661.00
|
ms |
0.95
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
30.09
|
fps |
1.24
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
124.08
|
sec |
1.83
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
82.17
|
sec |
9.78
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
347.63
|
iterations/sec |
2.52
|
Viewport Graphics |
|
|||
catia | 17.57 |
104.20
|
fps |
5.93
|
creo | 48.42 |
193.79
|
fps |
4.00
|
solidworks | 42.90 |
333.96
|
fps |
7.78
|
WPCstorage |
|
|||
ccx | 1398.45 |
1231.11
|
points |
0.88
|
cfd | 1921.51 |
1529.94
|
points |
0.80
|
icePack | 1543.34 |
862.34
|
points |
0.56
|
mcad | 2612.50 |
2497.88
|
points |
0.96
|
proddev | 659.82 |
245.19
|
points |
0.37
|
Industry Vertical Scores
Productivity & Development | 1.36 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
17.22
|
sec |
0.93
|
Compression | 254.57 |
50.12
|
sec |
5.08
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
305.24
|
sec |
1.84
|
Octave |
|
|||
obench | 1.20 |
1.24
|
sec/operation |
0.97
|
benchmark2 | 0.11 |
0.12
|
sec/operation |
0.90
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.36
|
sec |
0.99
|
NumPy Add Matrix | 4.44 |
5.07
|
sec |
0.88
|
NumPy Multiply Matrix | 8.06 |
5.71
|
sec |
1.41
|
NumPy Invert Matrix | 15.53 |
10.98
|
sec |
1.41
|
NumPy Sin Matrix | 2.67 |
2.83
|
sec |
0.94
|
Multi-Matrix | 65.50 |
42.70
|
sec |
1.53
|
WPCstorage |
|
|||
7zip | 431.06 |
524.26
|
points |
1.22
|
mozillaVS | 7708.43 |
7410.09
|
points |
0.96
|
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
4.56
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
HandBrake |
|
|||
GPU H.265 4K to 4K | 169.65 |
199.63
|
fps |
1.18
|
GPU H.265 4K to 1080p | 128.84 |
440.40
|
fps |
3.42
|
ONNX Inference |
|
|||
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
35.36
|
inferences/sec |
9.02
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
47.85
|
inferences/sec |
24.90
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
34.97
|
inferences/sec |
5.31
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
18.56
|
inferences/sec |
9.66
|
1.92
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
17.22
|
sec |
0.93
|
Compression | 254.57 |
50.12
|
sec |
5.08
|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
4793.00
|
ms |
0.89
|
Create/Update Files | 4973.68 |
5496.00
|
ms |
0.91
|
Rebuild | 10590.28 |
11299.00
|
ms |
0.94
|
Render Style/Material | 628.78 |
661.00
|
ms |
0.95
|
Blender |
|
|||
Classroom | 281.72 |
47.10
|
sec |
5.98
|
BMW27 | 43.82 |
23.25
|
sec |
1.88
|
BMW1M | 17.74 |
9.55
|
sec |
1.86
|
Island | 29.68 |
26.02
|
sec |
1.14
|
Convolution |
|
|||
20K/100 | 0.09 |
0.19
|
iterations/sec |
2.06
|
Data Science |
|
|||
Pandas | 131.99 |
121.76
|
sec |
1.08
|
Scikit-learn | 449.17 |
208.55
|
sec |
2.15
|
XGBoost | 91.50 |
56.98
|
sec |
1.61
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
152.54
|
sec |
1.28
|
x265 4K to 1080p | 38.36 |
28.21
|
sec |
1.36
|
x265 4K to 4K | 107.73 |
64.83
|
sec |
1.66
|
x264 1080p to 1080p | 49.98 |
11.02
|
sec |
4.54
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
30.09
|
fps |
1.24
|
LAMMPS |
|
|||
LJ | 705.82 |
1572.17
|
tau/day |
2.23
|
CHAIN | 1190.35 |
3194.47
|
tau/day |
2.68
|
EAM | 0.63 |
1.37
|
ns/day |
2.18
|
CHUTE | 38.25 |
79.98
|
tau/day |
2.09
|
RHODO | 0.26 |
0.55
|
ns/day |
2.13
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
305.24
|
sec |
1.84
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
5.04
|
Msamples/sec |
2.05
|
Food | 1.84 |
3.92
|
Msamples/sec |
2.13
|
Danish Mood | 2.29 |
4.01
|
Msamples/sec |
1.75
|
Procedural Leaves | 1.10 |
2.25
|
Msamples/sec |
2.05
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
124.08
|
sec |
1.83
|
NAMD |
|
|||
apoa1 | 45.38 |
27.70
|
ms/step |
1.64
|
f1atpase | 130.50 |
76.90
|
ms/step |
1.70
|
stmv | 448.57 |
243.72
|
ms/step |
1.84
|
Octave |
|
|||
obench | 1.20 |
1.24
|
sec/operation |
0.97
|
benchmark2 | 0.11 |
0.12
|
sec/operation |
0.90
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
24.71
|
ms |
2.58
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
47.69
|
inferences/sec |
2.60
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
10.10
|
ms |
2.21
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
145.60
|
inferences/sec |
3.12
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
23.17
|
ms |
2.52
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
58.87
|
inferences/sec |
2.82
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
13.16
|
ms |
1.62
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
127.65
|
inferences/sec |
2.28
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
82.17
|
sec |
9.78
|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
67934.26
|
options/sec |
1.93
|
Black-Scholes | 3389.63 |
7268.01
|
Moptions/sec |
2.14
|
Binomial | 79377.62 |
115362.84
|
options/sec |
1.45
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
39.36
|
iterations/sec |
2.45
|
Jacobi Square Grid | 6.19 |
13.49
|
iterations/sec |
2.18
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.36
|
sec |
0.99
|
NumPy Add Matrix | 4.44 |
5.07
|
sec |
0.88
|
NumPy Multiply Matrix | 8.06 |
5.71
|
sec |
1.41
|
NumPy Invert Matrix | 15.53 |
10.98
|
sec |
1.41
|
NumPy Sin Matrix | 2.67 |
2.83
|
sec |
0.94
|
Multi-Matrix | 65.50 |
42.70
|
sec |
1.53
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
347.63
|
iterations/sec |
2.52
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
1.55
|
fps |
2.24
|
HotSpot | 8.55 |
3.98
|
sec |
2.15
|
LavaMD | 0.07 |
0.12
|
iterations/sec |
1.77
|
SRAD | 47.04 |
93.51
|
iterations/sec |
1.99
|
SRMP |
|
|||
2D | 19.45 |
10.43
|
sec |
1.87
|
7.86
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
170.38
|
fps |
10.70
|
catia | 17.57 |
104.20
|
fps |
5.93
|
creo | 48.42 |
193.79
|
fps |
4.00
|
energy | 11.48 |
128.99
|
fps |
11.20
|
maya | 62.09 |
446.16
|
fps |
7.19
|
medical | 9.63 |
113.02
|
fps |
11.70
|
solidworks | 42.90 |
333.96
|
fps |
7.78
|
0.74
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
WPCstorage |
|
|||
3dsmax | 3299.42 |
1840.47
|
points |
0.56
|
7zip | 431.06 |
524.26
|
points |
1.22
|
ccx | 1398.45 |
1231.11
|
points |
0.88
|
cfd | 1921.51 |
1529.94
|
points |
0.80
|
energy | 1547.93 |
1366.92
|
points |
0.88
|
handbrake | 1897.99 |
2019.14
|
points |
1.06
|
icePack | 1543.34 |
862.34
|
points |
0.56
|
maya | 2037.06 |
952.63
|
points |
0.47
|
MayaVenice | 472.63 |
326.93
|
points |
0.69
|
MandE | 1625.72 |
1443.79
|
points |
0.89
|
mcad | 2612.50 |
2497.88
|
points |
0.96
|
mozillaVS | 7708.43 |
7410.09
|
points |
0.96
|
namd | 1250.61 |
824.62
|
points |
0.66
|
proddev | 659.82 |
245.19
|
points |
0.37
|
Workload Scores
Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|---|---|
7-Zip | Nov 20, 2024, 1:26:02 AM PST |
3.05
|
||||
Decompression | 17.22 sec | 16.04 |
17.22
|
sec |
0.93
|
|
Compression | 50.12 sec | 254.57 |
50.12
|
sec |
5.08
|
|
Autodesk Inventor | Nov 20, 2024, 1:27:15 AM PST |
0.92
|
||||
Open Document | 5.05 sec | 4253.73 |
4793.00
|
ms |
0.89
|
|
Create/Update Files | 7.38 sec | 4973.68 |
5496.00
|
ms |
0.91
|
|
Rebuild | 11.55 sec | 10590.28 |
11299.00
|
ms |
0.94
|
|
Render Style/Material | 0.91 sec | 628.78 |
661.00
|
ms |
0.95
|
|
Blender | Nov 20, 2024, 1:28:06 AM PST |
2.21
|
||||
Classroom | 47.10 sec | 281.72 |
47.10
|
sec |
5.98
|
|
BMW27 | 23.25 sec | 43.82 |
23.25
|
sec |
1.88
|
|
BMW1M | 9.55 sec | 17.74 |
9.55
|
sec |
1.86
|
|
Island | 26.02 sec | 29.68 |
26.02
|
sec |
1.14
|
|
Convolution | Nov 20, 2024, 1:29:57 AM PST |
2.06
|
||||
20K/100 | 34.01 sec | 0.09 |
0.19
|
iterations/sec |
2.06
|
|
Data Science | Nov 20, 2024, 1:30:31 AM PST |
1.55
|
||||
Pandas | 125.59 sec | 131.99 |
121.76
|
sec |
1.08
|
|
Scikit-learn | 213.30 sec | 449.17 |
208.55
|
sec |
2.15
|
|
XGBoost | 79.58 sec | 91.50 |
56.98
|
sec |
1.61
|
|
HandBrake | Nov 20, 2024, 1:37:46 AM PST |
1.94
|
||||
SVT-AV1 8K to 4K | 152.54 sec | 195.16 |
152.54
|
sec |
1.28
|
|
x265 4K to 1080p | 29.73 sec | 38.36 |
28.21
|
sec |
1.36
|
|
x265 4K to 4K | 66.35 sec | 107.73 |
64.83
|
sec |
1.66
|
|
x264 1080p to 1080p | 11.02 sec | 49.98 |
11.02
|
sec |
4.54
|
|
GPU H.265 4K to 4K | 55.82 sec | 169.65 |
199.63
|
fps |
1.18
|
|
GPU H.265 4K to 1080p | 221.94 sec | 128.84 |
440.40
|
fps |
3.42
|
|
Hidden Line Removal | Nov 20, 2024, 1:46:51 AM PST |
1.24
|
||||
Palatov | 17.95 sec | 24.29 |
30.09
|
fps |
1.24
|
|
Palatov | 17.91 sec | 24.29 |
24.64
|
fps |
1.01
|
|
LAMMPS | Nov 20, 2024, 1:47:27 AM PST |
2.25
|
||||
LJ | 9.96 sec | 705.82 |
1572.17
|
tau/day |
2.23
|
|
CHAIN | 8.54 sec | 1190.35 |
3194.47
|
tau/day |
2.68
|
|
EAM | 10.54 sec | 0.63 |
1.37
|
ns/day |
2.18
|
|
CHUTE | 5.73 sec | 38.25 |
79.98
|
tau/day |
2.09
|
|
RHODO | 5.71 sec | 0.26 |
0.55
|
ns/day |
2.13
|
|
LLVM Clang | Nov 20, 2024, 1:48:08 AM PST |
1.84
|
||||
PyTorch | 327.85 sec | 562.76 |
305.24
|
sec |
1.84
|
|
LuxCoreRender | Nov 20, 2024, 1:54:41 AM PST |
1.99
|
||||
DLSC | 10.62 sec | 2.46 |
5.04
|
Msamples/sec |
2.05
|
|
Food | 16.14 sec | 1.84 |
3.92
|
Msamples/sec |
2.13
|
|
Danish Mood | 38.25 sec | 2.29 |
4.01
|
Msamples/sec |
1.75
|
|
Procedural Leaves | 24.96 sec | 1.10 |
2.25
|
Msamples/sec |
2.05
|
|
MFEM | Nov 20, 2024, 1:56:11 AM PST |
1.83
|
||||
Dynamic AMR | 124.08 sec | 227.39 |
124.08
|
sec |
1.83
|
|
NAMD | Nov 20, 2024, 1:58:16 AM PST |
1.72
|
||||
apoa1 | 12.52 sec | 45.38 |
27.70
|
ms/step |
1.64
|
|
f1atpase | 19.78 sec | 130.50 |
76.90
|
ms/step |
1.70
|
|
stmv | 40.09 sec | 448.57 |
243.72
|
ms/step |
1.84
|
|
Octave | Nov 20, 2024, 1:59:28 AM PST |
0.93
|
||||
obench | 51.87 sec | 1.20 |
1.24
|
sec/operation |
0.97
|
|
benchmark2 | 11.69 sec | 0.11 |
0.12
|
sec/operation |
0.90
|
|
ONNX Inference | Nov 20, 2024, 2:00:43 AM PST |
3.94
|
||||
CPU ResNet50-FP32-batch8 Latency | 20.41 sec | 63.72 |
24.71
|
ms |
2.58
|
|
CPU ResNet50-FP32-batch8 Throughput | 21.08 sec | 18.33 |
47.69
|
inferences/sec |
2.60
|
|
CPU ResNet50-FP32-batch8 Throughput | 21.43 sec | 18.33 |
47.37
|
inferences/sec |
2.58
|
|
CPU ResNet50-INT8-batch8 Latency | 20.17 sec | 22.37 |
10.10
|
ms |
2.21
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.42 sec | 46.62 |
145.60
|
inferences/sec |
3.12
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.51 sec | 46.62 |
136.74
|
inferences/sec |
2.93
|
|
CPU SuperResolution-FP32-batch8 Latency | 20.14 sec | 58.42 |
23.17
|
ms |
2.52
|
|
CPU SuperResolution-FP32-batch8 Throughput | 20.75 sec | 20.87 |
58.87
|
inferences/sec |
2.82
|
|
CPU SuperResolution-FP32-batch8 Throughput | 21.10 sec | 20.87 |
53.18
|
inferences/sec |
2.55
|
|
CPU SuperResolution-INT8-batch8 Latency | 20.11 sec | 21.34 |
13.16
|
ms |
1.62
|
|
CPU SuperResolution-INT8-batch8 Throughput | 20.43 sec | 55.92 |
127.65
|
inferences/sec |
2.28
|
|
CPU SuperResolution-INT8-batch8 Throughput | 20.53 sec | 55.92 |
102.80
|
inferences/sec |
1.84
|
|
GPU ResNet50-FP32-batch32 Throughput | 20.54 sec | 3.92 |
35.36
|
inferences/sec |
9.02
|
|
GPU ResNet50-INT8-batch32 Throughput | 20.67 sec | 1.92 |
47.85
|
inferences/sec |
24.90
|
|
GPU SuperResolution-FP32-batch32 Throughput | 21.50 sec | 6.59 |
34.97
|
inferences/sec |
5.31
|
|
GPU SuperResolution-INT8-batch32 Throughput | 20.90 sec | 1.92 |
18.56
|
inferences/sec |
9.66
|
|
OpenFOAM | Nov 20, 2024, 2:06:15 AM PST |
9.78
|
||||
XiFoam Solver | 107.86 sec | 803.27 |
96.25
|
sec |
8.35
|
|
XiFoam Solver | 92.93 sec | 803.27 |
82.17
|
sec |
9.78
|
|
Options Pricing | Nov 20, 2024, 2:09:40 AM PST |
1.82
|
||||
Monte Carlo | 15.53 sec | 35137.48 |
67934.26
|
options/sec |
1.93
|
|
Black-Scholes | 10.70 sec | 3389.63 |
7268.01
|
Moptions/sec |
2.14
|
|
Binomial | 9.17 sec | 79377.62 |
115362.84
|
options/sec |
1.45
|
|
Poisson | Nov 20, 2024, 2:10:16 AM PST |
2.31
|
||||
Jacobi Rectangular Grid | 10.13 sec | 16.05 |
20.49
|
iterations/sec |
1.28
|
|
Jacobi Rectangular Grid | 10.06 sec | 16.05 |
39.36
|
iterations/sec |
2.45
|
|
Jacobi Square Grid | 10.14 sec | 6.19 |
13.24
|
iterations/sec |
2.14
|
|
Jacobi Square Grid | 10.11 sec | 6.19 |
13.49
|
iterations/sec |
2.18
|
|
Python 3 | Nov 20, 2024, 2:10:56 AM PST |
1.30
|
||||
NumPy Create Matrix | 1.35 sec | 0.36 |
0.36
|
sec |
0.99
|
|
NumPy Add Matrix | 5.96 sec | 4.44 |
5.07
|
sec |
0.88
|
|
NumPy Multiply Matrix | 6.60 sec | 8.06 |
5.71
|
sec |
1.41
|
|
NumPy Invert Matrix | 11.90 sec | 15.53 |
10.98
|
sec |
1.41
|
|
NumPy Sin Matrix | 3.73 sec | 2.67 |
2.83
|
sec |
0.94
|
|
Multi-Matrix | 44.10 sec | 65.50 |
42.70
|
sec |
1.53
|
|
Rodinia CFD | Nov 20, 2024, 2:12:19 AM PST |
2.52
|
||||
Pre-Euler | 33.30 sec | 138.14 |
347.63
|
iterations/sec |
2.52
|
|
Rodinia Life Sciences | Nov 20, 2024, 2:12:53 AM PST |
2.03
|
||||
Heart Wall | 10.55 sec | 0.69 |
1.55
|
fps |
2.24
|
|
HotSpot | 5.15 sec | 8.55 |
3.98
|
sec |
2.15
|
|
LavaMD | 16.52 sec | 0.07 |
0.12
|
iterations/sec |
1.77
|
|
SRAD | 10.28 sec | 47.04 |
93.51
|
iterations/sec |
1.99
|
|
SRMP | Nov 20, 2024, 2:13:36 AM PST |
1.87
|
||||
2D | 10.81 sec | 19.45 |
10.43
|
sec |
1.87
|
|
Viewport Graphics | Nov 20, 2024, 2:13:47 AM PST |
7.86
|
||||
3dsmax | 128.71 sec | 15.96 |
170.38
|
fps |
10.70
|
|
catia | 138.72 sec | 17.57 |
104.20
|
fps |
5.93
|
|
creo | 133.28 sec | 48.42 |
193.79
|
fps |
4.00
|
|
energy | 94.92 sec | 11.48 |
128.99
|
fps |
11.20
|
|
maya | 92.19 sec | 62.09 |
446.16
|
fps |
7.19
|
|
medical | 84.38 sec | 9.63 |
113.02
|
fps |
11.70
|
|
solidworks | 90.11 sec | 42.90 |
333.96
|
fps |
7.78
|
|
WPCstorage | Nov 20, 2024, 2:27:39 AM PST |
0.74
|
||||
3dsmax | 81.10 sec | 3299.42 |
1840.47
|
points |
0.56
|
|
7zip | 59.47 sec | 431.06 |
524.26
|
points |
1.22
|
|
ccx | 12.75 sec | 1398.45 |
1231.11
|
points |
0.88
|
|
cfd | 13.59 sec | 1921.51 |
1529.94
|
points |
0.80
|
|
energy | 23.23 sec | 1547.93 |
1366.92
|
points |
0.88
|
|
handbrake | 17.73 sec | 1897.99 |
2019.14
|
points |
1.06
|
|
icePack | 81.95 sec | 1543.34 |
862.34
|
points |
0.56
|
|
maya | 95.14 sec | 2037.06 |
952.63
|
points |
0.47
|
|
MayaVenice | 42.49 sec | 472.63 |
326.93
|
points |
0.69
|
|
MandE | 22.77 sec | 1625.72 |
1443.79
|
points |
0.89
|
|
mcad | 70.72 sec | 2612.50 |
2497.88
|
points |
0.96
|
|
mozillaVS | 31.77 sec | 7708.43 |
7410.09
|
points |
0.96
|
|
namd | 20.02 sec | 1250.61 |
824.62
|
points |
0.66
|
|
proddev | 24.35 sec | 659.82 |
245.19
|
points |
0.37
|
System Configuration Details
MOTHERBOARD
Name: 097FW8Model: Precision 5860 Tower
Version: A01
Manufacturer: Dell Inc.
Serial Number: /H6G4L44/CNFCW0045F00FG/
BIOS: Dell Inc. 2.4.1
BIOS Version: INTEL - 0 (2024-09-11)
PROCESSOR
CPU #1: Intel(R) Xeon(R) w7-2475X (2592MHz / 20C / 40T)
MEMORY
(DIMM1): SK Hynix HMCG78AEBRA115N (16.00 GB / 4400 MHz / DDR5)(DIMM5): SK Hynix HMCG78AEBRA115N (16.00 GB / 4400 MHz / DDR5)
(DIMM3): SK Hynix HMCG78AEBRA115N (16.00 GB / 4400 MHz / DDR5)
(DIMM7): SK Hynix HMCG78AEBRA115N (16.00 GB / 4400 MHz / DDR5)
(DIMM2): SK Hynix HMCG78AEBRA115N (16.00 GB / 4400 MHz / DDR5)
(DIMM6): SK Hynix HMCG78AEBRA115N (16.00 GB / 4400 MHz / DDR5)
(DIMM4): SK Hynix HMCG78AEBRA115N (16.00 GB / 4400 MHz / DDR5)
(DIMM8): SK Hynix HMCG78AEBRA115N (16.00 GB / 4400 MHz / DDR5)
Total Memory: 128.00 GB
STORAGE
Disk #1: NVMe PC SN810 NVMe WD (1907.73 GB - SCSI)Partition 1: GPT: System (0.20 GB)
Partition 2: GPT: Basic Data (1904.58 GB)
Partition 3: GPT: Unknown (1.26 GB)
Partition 4: GPT: Unknown (1.56 GB)
Available Volumes
C: (OS): NTFS (1748.93 GB of 1904.58 GB Available)
NETWORK
Adapter #1: Intel(R) Ethernet Connection (17) I219-LMType: Ethernet 802.3 | MAC: 4C:D7:17:A9:40:48 | Speed: Not Connected
Adapter #2: Bluetooth Device (Personal Area Network)
Type: Ethernet 802.3 | MAC: FC:B0:DE:D0:E2:D0 | Speed: Not Connected
Adapter #3: Marvell AQtion 10Gbit Network Adapter
Type: Ethernet 802.3 | MAC: 4C:D7:17:A9:40:49 | Speed: Not Connected
GRAPHICS
Adapter #1: AMD Radeon PRO W7700Video Memory: 15.98 GB
Current Resolution: 2560x1440 @ 60 Hz (32-bit Color)
Driver Version: 32.0.11020.16 (2024-06-13)
DISPLAY
Display #1: DELL INC. DELL P2720D 27.2" (2560x1440)Model: D100 | S/N: JV69F99J07HL | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 1920x1080 @ 32 bpp
OPERATING SYSTEM
Name: Microsoft Windows 11 Pro for Workstations 64-bitVersion: 10.0.22631.4391 (Release 2009)
Installation Date: 2024-09-26
Free Memory: 114.81 GB (Physical) | 120.91 GB (Virtual) | 8.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Running
Active Power Plan: High performance (8c5e7fda-e8bf-4a96-9a85-a6e23a8c635c)