VMware, Inc. VMware20,1
Geekbench ML Score
926
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 08 2024 11:09 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | VMware, Inc. VMware20,1 |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400F |
| Topology | 2 Processors, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 2 Cores |
| L1 Instruction Cache | 32.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 256 KB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
| Type | DRAM |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
533
99.7 IPS |
|
|
Image Classification (F16)
|
100% |
519
97.1 IPS |
|
|
Image Classification (I8)
|
97% |
739
138.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
430
7.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
421
7.02 IPS |
|
|
Image Segmentation (I8)
|
97% |
578
9.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
1348
1.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
1384
1.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
2338
2.83 IPS |
|
|
Object Detection (F32)
|
100% |
511
38.1 IPS |
|
|
Object Detection (F16)
|
100% |
496
37.0 IPS |
|
|
Object Detection (I8)
|
60% |
545
40.7 IPS |
|
|
Face Detection (F32)
|
100% |
957
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
928
11.0 IPS |
|
|
Face Detection (I8)
|
87% |
1260
15.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1649
12.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
1561
12.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
2296
17.8 IPS |
|
|
Style Transfer (F32)
|
100% |
3200
4.21 IPS |
|
|
Style Transfer (F16)
|
100% |
3302
4.34 IPS |
|
|
Style Transfer (I8)
|
85% |
4054
5.33 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
743
26.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
771
27.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1080
38.6 IPS |
|
|
Text Classification (F32)
|
100% |
566
813.3 IPS |
|
|
Text Classification (F16)
|
100% |
567
814.7 IPS |
|
|
Text Classification (I8)
|
94% |
281
403.7 IPS |
|
|
Machine Translation (F32)
|
100% |
745
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
762
14.0 IPS |
|
|
Machine Translation (I8)
|
67% |
869
16.0 IPS |
