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 | HP |
Model | HP Z4 G5 Workstation Desktop PC |
CPU | Intel(R) Xeon(R) w7-2495X |
Memory | 256.00 GB @ 4800 MHz |
GPU | AMD Radeon PRO W7600 |
Display | HP Z24n G3 24.0" (1920x1200) |
Storage | Drive 1: SAMSUNG MZVL21T0HCLR-00BH1 953.86 GB - SCSI Drive 2: SAMSUNG MZVL21T0HCLR-00BH1 953.86 GB - SCSI |
OS | Microsoft Windows 11 Pro for Workstations (22631) |
Submission Details
Result Date | Thu Nov 21 2024 12:00:33 GMT-0700 (Mountain Standard Time) |
Submitter Company | |
Submitter Name | |
Submitter Comments |
Industry Vertical Scores
AI & Machine Learning |
2.23 |
Energy |
2.34 |
Financial Services |
2.06 |
Life Sciences |
2.48 |
Media & Entertainment |
2.18 |
Product Design |
2.05 |
Productivity & Development |
1.11 |
Hardware Subsystem Scores
CPU | 1.89 |
Accelerator | 3.58 |
Graphics | 5.67 |
Storage | 0.87 |
Workload | SPEC Ratio |
---|---|
7-Zip | 1.94 |
Autodesk Inventor | 0.56 |
Blender | 2.36 |
Convolution | 2.39 |
Data Science | 1.41 |
HandBrake | 1.98 |
Hidden Line Removal | 1.28 |
LAMMPS | 2.40 |
LLVM Clang | 1.89 |
LuxCoreRender | 2.18 |
MFEM | 1.95 |
NAMD | 1.90 |
Octave | 0.81 |
ONNX Inference | 3.53 |
OpenFOAM | 10.70 |
Options Pricing | 2.06 |
Poisson | 2.24 |
Python 3 | 1.21 |
Rodinia CFD | 2.77 |
Rodinia Life Sciences | 2.28 |
SRMP | 2.03 |
Viewport Graphics | 5.67 |
WPCstorage | 0.87 |
Industry Vertical Scores
AI & Machine Learning | 2.23 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Data Science |
|
|||
Pandas | 131.99 |
144.30
|
sec |
0.92
|
Scikit-learn | 449.17 |
210.83
|
sec |
2.13
|
XGBoost | 91.50 |
62.92
|
sec |
1.45
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
21.80
|
ms |
2.92
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
52.67
|
inferences/sec |
2.87
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
9.07
|
ms |
2.47
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
151.51
|
inferences/sec |
3.25
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
22.62
|
ms |
2.58
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
58.94
|
inferences/sec |
2.82
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
12.63
|
ms |
1.69
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
135.62
|
inferences/sec |
2.43
|
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
20.28
|
inferences/sec |
5.17
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
32.04
|
inferences/sec |
16.70
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
21.97
|
inferences/sec |
3.33
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
12.43
|
inferences/sec |
6.47
|
Industry Vertical Scores
Energy | 2.34 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Convolution |
|
|||
20K/100 | 0.09 |
0.22
|
iterations/sec |
2.39
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
39.07
|
iterations/sec |
2.43
|
Jacobi Square Grid | 6.19 |
12.73
|
iterations/sec |
2.06
|
SRMP |
|
|||
2D | 19.45 |
9.56
|
sec |
2.03
|
Viewport Graphics |
|
|||
energy | 11.48 |
91.62
|
fps |
7.98
|
WPCstorage |
|
|||
energy | 1547.93 |
1248.10
|
points |
0.81
|
Industry Vertical Scores
Financial Services | 2.06 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
79669.08
|
options/sec |
2.27
|
Black-Scholes | 3389.63 |
7754.68
|
Moptions/sec |
2.29
|
Binomial | 79377.62 |
133733.91
|
options/sec |
1.68
|
Industry Vertical Scores
Life Sciences | 2.48 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
LAMMPS |
|
|||
LJ | 705.82 |
1771.18
|
tau/day |
2.51
|
CHAIN | 1190.35 |
3399.14
|
tau/day |
2.86
|
EAM | 0.63 |
1.50
|
ns/day |
2.39
|
CHUTE | 38.25 |
79.65
|
tau/day |
2.08
|
RHODO | 0.26 |
0.58
|
ns/day |
2.22
|
NAMD |
|
|||
apoa1 | 45.38 |
23.87
|
ms/step |
1.90
|
f1atpase | 130.50 |
73.40
|
ms/step |
1.78
|
stmv | 448.57 |
222.12
|
ms/step |
2.02
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
1.79
|
fps |
2.59
|
HotSpot | 8.55 |
3.57
|
sec |
2.40
|
LavaMD | 0.07 |
0.14
|
iterations/sec |
2.06
|
SRAD | 47.04 |
98.60
|
iterations/sec |
2.10
|
Viewport Graphics |
|
|||
medical | 9.63 |
87.48
|
fps |
9.08
|
WPCstorage |
|
|||
namd | 1250.61 |
1236.62
|
points |
0.99
|
Industry Vertical Scores
Media & Entertainment | 2.18 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Blender |
|
|||
Classroom | 281.72 |
43.28
|
sec |
6.51
|
BMW27 | 43.82 |
21.01
|
sec |
2.09
|
BMW1M | 17.74 |
8.57
|
sec |
2.07
|
Island | 29.68 |
27.00
|
sec |
1.10
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
144.37
|
sec |
1.35
|
x265 4K to 1080p | 38.36 |
28.04
|
sec |
1.37
|
x265 4K to 4K | 107.73 |
56.06
|
sec |
1.92
|
x264 1080p to 1080p | 49.98 |
11.10
|
sec |
4.50
|
GPU H.265 4K to 4K | 169.65 |
190.07
|
fps |
1.12
|
GPU H.265 4K to 1080p | 128.84 |
439.10
|
fps |
3.41
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
5.62
|
Msamples/sec |
2.28
|
Food | 1.84 |
4.26
|
Msamples/sec |
2.32
|
Danish Mood | 2.29 |
4.49
|
Msamples/sec |
1.96
|
Procedural Leaves | 1.10 |
2.38
|
Msamples/sec |
2.16
|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
109.13
|
fps |
6.84
|
maya | 62.09 |
323.54
|
fps |
5.21
|
WPCstorage |
|
|||
3dsmax | 3299.42 |
2557.01
|
points |
0.78
|
handbrake | 1897.99 |
1578.97
|
points |
0.83
|
maya | 2037.06 |
1372.20
|
points |
0.67
|
MayaVenice | 472.63 |
407.88
|
points |
0.86
|
MandE | 1625.72 |
1593.56
|
points |
0.98
|
Industry Vertical Scores
Product Design | 2.05 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
8860.00
|
ms |
0.48
|
Create/Update Files | 4973.68 |
7543.00
|
ms |
0.66
|
Rebuild | 10590.28 |
14323.00
|
ms |
0.74
|
Render Style/Material | 628.78 |
1512.00
|
ms |
0.42
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
31.18
|
fps |
1.28
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
116.58
|
sec |
1.95
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
74.84
|
sec |
10.70
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
383.30
|
iterations/sec |
2.77
|
Viewport Graphics |
|
|||
catia | 17.57 |
74.04
|
fps |
4.21
|
creo | 48.42 |
148.48
|
fps |
3.07
|
solidworks | 42.90 |
241.06
|
fps |
5.62
|
WPCstorage |
|
|||
ccx | 1398.45 |
1340.83
|
points |
0.96
|
cfd | 1921.51 |
1221.21
|
points |
0.64
|
icePack | 1543.34 |
1394.17
|
points |
0.90
|
mcad | 2612.50 |
2746.15
|
points |
1.05
|
proddev | 659.82 |
609.24
|
points |
0.92
|
Industry Vertical Scores
Productivity & Development | 1.11 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
72.33
|
sec |
0.22
|
Compression | 254.57 |
51.98
|
sec |
4.90
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
297.06
|
sec |
1.89
|
Octave |
|
|||
obench | 1.20 |
1.43
|
sec/operation |
0.84
|
benchmark2 | 0.11 |
0.14
|
sec/operation |
0.78
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.48
|
sec |
0.75
|
NumPy Add Matrix | 4.44 |
5.62
|
sec |
0.79
|
NumPy Multiply Matrix | 8.06 |
5.70
|
sec |
1.41
|
NumPy Invert Matrix | 15.53 |
10.04
|
sec |
1.55
|
NumPy Sin Matrix | 2.67 |
3.23
|
sec |
0.83
|
Multi-Matrix | 65.50 |
45.50
|
sec |
1.44
|
WPCstorage |
|
|||
7zip | 431.06 |
473.81
|
points |
1.10
|
mozillaVS | 7708.43 |
6645.35
|
points |
0.86
|
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
3.58
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
HandBrake |
|
|||
GPU H.265 4K to 4K | 169.65 |
190.07
|
fps |
1.12
|
GPU H.265 4K to 1080p | 128.84 |
439.10
|
fps |
3.41
|
ONNX Inference |
|
|||
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
20.28
|
inferences/sec |
5.17
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
32.04
|
inferences/sec |
16.70
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
21.97
|
inferences/sec |
3.33
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
12.43
|
inferences/sec |
6.47
|
1.89
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
72.33
|
sec |
0.22
|
Compression | 254.57 |
51.98
|
sec |
4.90
|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
8860.00
|
ms |
0.48
|
Create/Update Files | 4973.68 |
7543.00
|
ms |
0.66
|
Rebuild | 10590.28 |
14323.00
|
ms |
0.74
|
Render Style/Material | 628.78 |
1512.00
|
ms |
0.42
|
Blender |
|
|||
Classroom | 281.72 |
43.28
|
sec |
6.51
|
BMW27 | 43.82 |
21.01
|
sec |
2.09
|
BMW1M | 17.74 |
8.57
|
sec |
2.07
|
Island | 29.68 |
27.00
|
sec |
1.10
|
Convolution |
|
|||
20K/100 | 0.09 |
0.22
|
iterations/sec |
2.39
|
Data Science |
|
|||
Pandas | 131.99 |
144.30
|
sec |
0.92
|
Scikit-learn | 449.17 |
210.83
|
sec |
2.13
|
XGBoost | 91.50 |
62.92
|
sec |
1.45
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
144.37
|
sec |
1.35
|
x265 4K to 1080p | 38.36 |
28.04
|
sec |
1.37
|
x265 4K to 4K | 107.73 |
56.06
|
sec |
1.92
|
x264 1080p to 1080p | 49.98 |
11.10
|
sec |
4.50
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
31.18
|
fps |
1.28
|
LAMMPS |
|
|||
LJ | 705.82 |
1771.18
|
tau/day |
2.51
|
CHAIN | 1190.35 |
3399.14
|
tau/day |
2.86
|
EAM | 0.63 |
1.50
|
ns/day |
2.39
|
CHUTE | 38.25 |
79.65
|
tau/day |
2.08
|
RHODO | 0.26 |
0.58
|
ns/day |
2.22
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
297.06
|
sec |
1.89
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
5.62
|
Msamples/sec |
2.28
|
Food | 1.84 |
4.26
|
Msamples/sec |
2.32
|
Danish Mood | 2.29 |
4.49
|
Msamples/sec |
1.96
|
Procedural Leaves | 1.10 |
2.38
|
Msamples/sec |
2.16
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
116.58
|
sec |
1.95
|
NAMD |
|
|||
apoa1 | 45.38 |
23.87
|
ms/step |
1.90
|
f1atpase | 130.50 |
73.40
|
ms/step |
1.78
|
stmv | 448.57 |
222.12
|
ms/step |
2.02
|
Octave |
|
|||
obench | 1.20 |
1.43
|
sec/operation |
0.84
|
benchmark2 | 0.11 |
0.14
|
sec/operation |
0.78
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
21.80
|
ms |
2.92
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
52.67
|
inferences/sec |
2.87
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
9.07
|
ms |
2.47
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
151.51
|
inferences/sec |
3.25
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
22.62
|
ms |
2.58
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
58.94
|
inferences/sec |
2.82
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
12.63
|
ms |
1.69
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
135.62
|
inferences/sec |
2.43
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
74.84
|
sec |
10.70
|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
79669.08
|
options/sec |
2.27
|
Black-Scholes | 3389.63 |
7754.68
|
Moptions/sec |
2.29
|
Binomial | 79377.62 |
133733.91
|
options/sec |
1.68
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
39.07
|
iterations/sec |
2.43
|
Jacobi Square Grid | 6.19 |
12.73
|
iterations/sec |
2.06
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.48
|
sec |
0.75
|
NumPy Add Matrix | 4.44 |
5.62
|
sec |
0.79
|
NumPy Multiply Matrix | 8.06 |
5.70
|
sec |
1.41
|
NumPy Invert Matrix | 15.53 |
10.04
|
sec |
1.55
|
NumPy Sin Matrix | 2.67 |
3.23
|
sec |
0.83
|
Multi-Matrix | 65.50 |
45.50
|
sec |
1.44
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
383.30
|
iterations/sec |
2.77
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
1.79
|
fps |
2.59
|
HotSpot | 8.55 |
3.57
|
sec |
2.40
|
LavaMD | 0.07 |
0.14
|
iterations/sec |
2.06
|
SRAD | 47.04 |
98.60
|
iterations/sec |
2.10
|
SRMP |
|
|||
2D | 19.45 |
9.56
|
sec |
2.03
|
5.67
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
109.13
|
fps |
6.84
|
catia | 17.57 |
74.04
|
fps |
4.21
|
creo | 48.42 |
148.48
|
fps |
3.07
|
energy | 11.48 |
91.62
|
fps |
7.98
|
maya | 62.09 |
323.54
|
fps |
5.21
|
medical | 9.63 |
87.48
|
fps |
9.08
|
solidworks | 42.90 |
241.06
|
fps |
5.62
|
0.87
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
WPCstorage |
|
|||
3dsmax | 3299.42 |
2557.01
|
points |
0.78
|
7zip | 431.06 |
473.81
|
points |
1.10
|
ccx | 1398.45 |
1340.83
|
points |
0.96
|
cfd | 1921.51 |
1221.21
|
points |
0.64
|
energy | 1547.93 |
1248.10
|
points |
0.81
|
handbrake | 1897.99 |
1578.97
|
points |
0.83
|
icePack | 1543.34 |
1394.17
|
points |
0.90
|
maya | 2037.06 |
1372.20
|
points |
0.67
|
MayaVenice | 472.63 |
407.88
|
points |
0.86
|
MandE | 1625.72 |
1593.56
|
points |
0.98
|
mcad | 2612.50 |
2746.15
|
points |
1.05
|
mozillaVS | 7708.43 |
6645.35
|
points |
0.86
|
namd | 1250.61 |
1236.62
|
points |
0.99
|
proddev | 659.82 |
609.24
|
points |
0.92
|
Workload Scores
Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|---|---|
7-Zip | Nov 21, 2024, 12:00:33 PM MST |
1.94
|
||||
Decompression | 72.33 sec | 16.04 |
72.33
|
sec |
0.22
|
|
Compression | 51.98 sec | 254.57 |
51.98
|
sec |
4.90
|
|
Autodesk Inventor | Nov 21, 2024, 12:02:54 PM MST |
0.56
|
||||
Open Document | 9.55 sec | 4253.73 |
8860.00
|
ms |
0.48
|
|
Create/Update Files | 9.93 sec | 4973.68 |
7543.00
|
ms |
0.66
|
|
Rebuild | 14.90 sec | 10590.28 |
14323.00
|
ms |
0.74
|
|
Render Style/Material | 2.20 sec | 628.78 |
1512.00
|
ms |
0.42
|
|
Blender | Nov 21, 2024, 12:04:14 PM MST |
2.36
|
||||
Classroom | 43.28 sec | 281.72 |
43.28
|
sec |
6.51
|
|
BMW27 | 21.01 sec | 43.82 |
21.01
|
sec |
2.09
|
|
BMW1M | 8.57 sec | 17.74 |
8.57
|
sec |
2.07
|
|
Island | 27.00 sec | 29.68 |
27.00
|
sec |
1.10
|
|
Convolution | Nov 21, 2024, 12:06:07 PM MST |
2.39
|
||||
20K/100 | 34.30 sec | 0.09 |
0.22
|
iterations/sec |
2.39
|
|
Data Science | Nov 21, 2024, 12:06:42 PM MST |
1.41
|
||||
Pandas | 150.99 sec | 131.99 |
144.30
|
sec |
0.92
|
|
Scikit-learn | 217.16 sec | 449.17 |
210.83
|
sec |
2.13
|
|
XGBoost | 90.43 sec | 91.50 |
62.92
|
sec |
1.45
|
|
HandBrake | Nov 21, 2024, 12:15:21 PM MST |
1.98
|
||||
SVT-AV1 8K to 4K | 144.37 sec | 195.16 |
144.37
|
sec |
1.35
|
|
x265 4K to 1080p | 30.01 sec | 38.36 |
28.04
|
sec |
1.37
|
|
x265 4K to 4K | 58.10 sec | 107.73 |
56.06
|
sec |
1.92
|
|
x264 1080p to 1080p | 11.10 sec | 49.98 |
11.10
|
sec |
4.50
|
|
GPU H.265 4K to 4K | 67.10 sec | 169.65 |
190.07
|
fps |
1.12
|
|
GPU H.265 4K to 1080p | 248.06 sec | 128.84 |
439.10
|
fps |
3.41
|
|
Hidden Line Removal | Nov 21, 2024, 12:24:49 PM MST |
1.28
|
||||
Palatov | 18.43 sec | 24.29 |
31.18
|
fps |
1.28
|
|
Palatov | 18.35 sec | 24.29 |
26.55
|
fps |
1.09
|
|
LAMMPS | Nov 21, 2024, 12:25:27 PM MST |
2.40
|
||||
LJ | 9.49 sec | 705.82 |
1771.18
|
tau/day |
2.51
|
|
CHAIN | 8.60 sec | 1190.35 |
3399.14
|
tau/day |
2.86
|
|
EAM | 9.97 sec | 0.63 |
1.50
|
ns/day |
2.39
|
|
CHUTE | 6.14 sec | 38.25 |
79.65
|
tau/day |
2.08
|
|
RHODO | 5.86 sec | 0.26 |
0.58
|
ns/day |
2.22
|
|
LLVM Clang | Nov 21, 2024, 12:26:08 PM MST |
1.89
|
||||
PyTorch | 366.44 sec | 562.76 |
297.06
|
sec |
1.89
|
|
LuxCoreRender | Nov 21, 2024, 12:37:21 PM MST |
2.18
|
||||
DLSC | 9.87 sec | 2.46 |
5.62
|
Msamples/sec |
2.28
|
|
Food | 16.39 sec | 1.84 |
4.26
|
Msamples/sec |
2.32
|
|
Danish Mood | 34.66 sec | 2.29 |
4.49
|
Msamples/sec |
1.96
|
|
Procedural Leaves | 23.19 sec | 1.10 |
2.38
|
Msamples/sec |
2.16
|
|
MFEM | Nov 21, 2024, 12:38:46 PM MST |
1.95
|
||||
Dynamic AMR | 116.58 sec | 227.39 |
116.58
|
sec |
1.95
|
|
NAMD | Nov 21, 2024, 12:40:43 PM MST |
1.90
|
||||
apoa1 | 13.51 sec | 45.38 |
23.87
|
ms/step |
1.90
|
|
f1atpase | 20.94 sec | 130.50 |
73.40
|
ms/step |
1.78
|
|
stmv | 41.55 sec | 448.57 |
222.12
|
ms/step |
2.02
|
|
Octave | Nov 21, 2024, 12:41:59 PM MST |
0.81
|
||||
obench | 60.62 sec | 1.20 |
1.43
|
sec/operation |
0.84
|
|
benchmark2 | 12.04 sec | 0.11 |
0.14
|
sec/operation |
0.78
|
|
ONNX Inference | Nov 21, 2024, 12:43:58 PM MST |
3.53
|
||||
CPU ResNet50-FP32-batch8 Latency | 20.58 sec | 63.72 |
21.80
|
ms |
2.92
|
|
CPU ResNet50-FP32-batch8 Throughput | 21.20 sec | 18.33 |
50.99
|
inferences/sec |
2.78
|
|
CPU ResNet50-FP32-batch8 Throughput | 21.66 sec | 18.33 |
52.67
|
inferences/sec |
2.87
|
|
CPU ResNet50-INT8-batch8 Latency | 20.23 sec | 22.37 |
9.07
|
ms |
2.47
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.49 sec | 46.62 |
151.51
|
inferences/sec |
3.25
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.64 sec | 46.62 |
147.02
|
inferences/sec |
3.15
|
|
CPU SuperResolution-FP32-batch8 Latency | 20.19 sec | 58.42 |
22.62
|
ms |
2.58
|
|
CPU SuperResolution-FP32-batch8 Throughput | 21.03 sec | 20.87 |
58.94
|
inferences/sec |
2.82
|
|
CPU SuperResolution-FP32-batch8 Throughput | 21.40 sec | 20.87 |
54.42
|
inferences/sec |
2.61
|
|
CPU SuperResolution-INT8-batch8 Latency | 20.17 sec | 21.34 |
12.63
|
ms |
1.69
|
|
CPU SuperResolution-INT8-batch8 Throughput | 20.56 sec | 55.92 |
135.62
|
inferences/sec |
2.43
|
|
CPU SuperResolution-INT8-batch8 Throughput | 20.70 sec | 55.92 |
110.29
|
inferences/sec |
1.97
|
|
GPU ResNet50-FP32-batch32 Throughput | 20.72 sec | 3.92 |
20.28
|
inferences/sec |
5.17
|
|
GPU ResNet50-INT8-batch32 Throughput | 20.89 sec | 1.92 |
32.04
|
inferences/sec |
16.70
|
|
GPU SuperResolution-FP32-batch32 Throughput | 21.43 sec | 6.59 |
21.97
|
inferences/sec |
3.33
|
|
GPU SuperResolution-INT8-batch32 Throughput | 21.01 sec | 1.92 |
12.43
|
inferences/sec |
6.47
|
|
OpenFOAM | Nov 21, 2024, 12:49:33 PM MST |
10.70
|
||||
XiFoam Solver | 108.51 sec | 803.27 |
92.27
|
sec |
8.71
|
|
XiFoam Solver | 87.87 sec | 803.27 |
74.84
|
sec |
10.70
|
|
Options Pricing | Nov 21, 2024, 12:53:05 PM MST |
2.06
|
||||
Monte Carlo | 13.38 sec | 35137.48 |
79669.08
|
options/sec |
2.27
|
|
Black-Scholes | 10.40 sec | 3389.63 |
7754.68
|
Moptions/sec |
2.29
|
|
Binomial | 7.98 sec | 79377.62 |
133733.91
|
options/sec |
1.68
|
|
Poisson | Nov 21, 2024, 12:53:37 PM MST |
2.24
|
||||
Jacobi Rectangular Grid | 10.19 sec | 16.05 |
38.21
|
iterations/sec |
2.38
|
|
Jacobi Rectangular Grid | 10.10 sec | 16.05 |
39.07
|
iterations/sec |
2.43
|
|
Jacobi Square Grid | 10.15 sec | 6.19 |
12.50
|
iterations/sec |
2.02
|
|
Jacobi Square Grid | 10.20 sec | 6.19 |
12.73
|
iterations/sec |
2.06
|
|
Python 3 | Nov 21, 2024, 12:54:17 PM MST |
1.21
|
||||
NumPy Create Matrix | 2.24 sec | 0.36 |
0.48
|
sec |
0.75
|
|
NumPy Add Matrix | 7.23 sec | 4.44 |
5.62
|
sec |
0.79
|
|
NumPy Multiply Matrix | 7.35 sec | 8.06 |
5.70
|
sec |
1.41
|
|
NumPy Invert Matrix | 11.67 sec | 15.53 |
10.04
|
sec |
1.55
|
|
NumPy Sin Matrix | 4.90 sec | 2.67 |
3.23
|
sec |
0.83
|
|
Multi-Matrix | 47.09 sec | 65.50 |
45.50
|
sec |
1.44
|
|
Rodinia CFD | Nov 21, 2024, 12:56:15 PM MST |
2.77
|
||||
Pre-Euler | 37.23 sec | 138.14 |
383.30
|
iterations/sec |
2.77
|
|
Rodinia Life Sciences | Nov 21, 2024, 12:56:52 PM MST |
2.28
|
||||
Heart Wall | 10.38 sec | 0.69 |
1.79
|
fps |
2.59
|
|
HotSpot | 5.03 sec | 8.55 |
3.57
|
sec |
2.40
|
|
LavaMD | 14.49 sec | 0.07 |
0.14
|
iterations/sec |
2.06
|
|
SRAD | 10.66 sec | 47.04 |
98.60
|
iterations/sec |
2.10
|
|
SRMP | Nov 21, 2024, 12:57:34 PM MST |
2.03
|
||||
2D | 10.25 sec | 19.45 |
9.56
|
sec |
2.03
|
|
Viewport Graphics | Nov 21, 2024, 12:57:44 PM MST |
5.67
|
||||
3dsmax | 133.64 sec | 15.96 |
109.13
|
fps |
6.84
|
|
catia | 147.22 sec | 17.57 |
74.04
|
fps |
4.21
|
|
creo | 144.38 sec | 48.42 |
148.48
|
fps |
3.07
|
|
energy | 124.65 sec | 11.48 |
91.62
|
fps |
7.98
|
|
maya | 105.60 sec | 62.09 |
323.54
|
fps |
5.21
|
|
medical | 89.67 sec | 9.63 |
87.48
|
fps |
9.08
|
|
solidworks | 79.51 sec | 42.90 |
241.06
|
fps |
5.62
|
|
WPCstorage | Nov 21, 2024, 1:12:57 PM MST |
0.87
|
||||
3dsmax | 68.92 sec | 3299.42 |
2557.01
|
points |
0.78
|
|
7zip | 57.69 sec | 431.06 |
473.81
|
points |
1.10
|
|
ccx | 13.29 sec | 1398.45 |
1340.83
|
points |
0.96
|
|
cfd | 14.13 sec | 1921.51 |
1221.21
|
points |
0.64
|
|
energy | 24.32 sec | 1547.93 |
1248.10
|
points |
0.81
|
|
handbrake | 17.86 sec | 1897.99 |
1578.97
|
points |
0.83
|
|
icePack | 64.64 sec | 1543.34 |
1394.17
|
points |
0.90
|
|
maya | 74.63 sec | 2037.06 |
1372.20
|
points |
0.67
|
|
MayaVenice | 37.43 sec | 472.63 |
407.88
|
points |
0.86
|
|
MandE | 22.53 sec | 1625.72 |
1593.56
|
points |
0.98
|
|
mcad | 69.77 sec | 2612.50 |
2746.15
|
points |
1.05
|
|
mozillaVS | 33.61 sec | 7708.43 |
6645.35
|
points |
0.86
|
|
namd | 19.06 sec | 1250.61 |
1236.62
|
points |
0.99
|
|
proddev | 21.48 sec | 659.82 |
609.24
|
points |
0.92
|
System Configuration Details
MOTHERBOARD
Name: 8962Model: HP Z4 G5 Workstation Desktop PC
Version: KBC Version 11.14.00
Manufacturer: HP
Serial Number: PRDXAX5CYGV00H
BIOS: HP U61 Ver. 01.02.08
BIOS Version: HPQOEM - 0 (2024-07-10)
PROCESSOR
CPU #1: Intel(R) Xeon(R) w7-2495X (2496MHz / 24C / 48T)
MEMORY
CPU0 (CPU0-DIMM1): Hynix HMCG94AGBRA179N (64.00 GB / 4800 MHz / DDR5)CPU0 (CPU0-DIMM3): Hynix HMCG94AGBRA179N (64.00 GB / 4800 MHz / DDR5)
CPU0 (CPU0-DIMM6): Hynix HMCG94AGBRA179N (64.00 GB / 4800 MHz / DDR5)
CPU0 (CPU0-DIMM8): Hynix HMCG94AGBRA179N (64.00 GB / 4800 MHz / DDR5)
Total Memory: 256.00 GB
STORAGE
Disk #1: SAMSUNG MZVL21T0HCLR-00BH1 (953.86 GB - SCSI)Partition 1: GPT: System (0.25 GB)
Partition 2: GPT: Basic Data (952.74 GB)
Partition 3: GPT: Unknown (0.85 GB)
Disk #2: SAMSUNG MZVL21T0HCLR-00BH1 (953.86 GB - SCSI)
Partition 1: GPT: Basic Data (953.74 GB)
Available Volumes
C: (Windows ): NTFS (104.29 GB of 952.74 GB Available)
D: (DATADRIVE1): NTFS (359.97 GB of 953.74 GB Available)
NETWORK
Adapter #1: Intel(R) Ethernet Connection (17) I219-LMType: Ethernet 802.3 | MAC: BC:E9:2F:9A:B2:20 | Speed: 1000.00 Mbit
GRAPHICS
Adapter #1: AMD Radeon PRO W7600Video Memory: 7.98 GB
Current Resolution: 1920x1200 @ 60 Hz (32-bit Color)
Driver Version: 32.0.11020.16 (2024-06-13)
DISPLAY
Display #1: HP INC. HP Z24n G3 24.0" (1920x1200)Model: 36C8 | S/N: CN41310MSQ | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 1920x1200 @ 32 bpp
OPERATING SYSTEM
Name: Microsoft Windows 11 Pro for Workstations 64-bitVersion: 10.0.22631.4460 (Release 2009)
Installation Date: 2023-02-10
Free Memory: 239.64 GB (Physical) | 491.01 GB (Virtual) | 256.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Running
Active Power Plan: Ultimate Performance (e9a42b02-d5df-448d-aa00-03f14749eb61)