VMware, Inc. VMware Virtual Platform
Geekbench ML Score
735
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | August 17 2024 07:28 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2016 Datacenter (64-bit) |
| Model | VMware, Inc. VMware Virtual Platform |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1275 v2 |
| Topology | 8 Processors, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 8 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 | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | DRAM |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
497
93.1 IPS |
|
|
Image Classification (F16)
|
100% |
493
92.3 IPS |
|
|
Image Classification (I8)
|
96% |
599
112.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
350
5.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
387
6.46 IPS |
|
|
Image Segmentation (I8)
|
97% |
460
7.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
1127
1.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
1105
1.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
1388
1.68 IPS |
|
|
Object Detection (F32)
|
100% |
436
32.5 IPS |
|
|
Object Detection (F16)
|
100% |
434
32.4 IPS |
|
|
Object Detection (I8)
|
62% |
424
31.7 IPS |
|
|
Face Detection (F32)
|
100% |
869
10.3 IPS |
|
|
Face Detection (F16)
|
100% |
896
10.7 IPS |
|
|
Face Detection (I8)
|
87% |
1038
12.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
1504
11.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
1405
10.9 IPS |
|
|
Depth Estimation (I8)
|
74% |
1635
12.7 IPS |
|
|
Style Transfer (F32)
|
100% |
2922
3.84 IPS |
|
|
Style Transfer (F16)
|
100% |
2780
3.66 IPS |
|
|
Style Transfer (I8)
|
85% |
3159
4.16 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
616
22.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
604
21.6 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
661
23.6 IPS |
|
|
Text Classification (F32)
|
100% |
480
690.3 IPS |
|
|
Text Classification (F16)
|
100% |
489
702.8 IPS |
|
|
Text Classification (I8)
|
94% |
172
246.8 IPS |
|
|
Machine Translation (F32)
|
100% |
525
9.66 IPS |
|
|
Machine Translation (F16)
|
100% |
541
9.96 IPS |
|
|
Machine Translation (I8)
|
67% |
388
7.14 IPS |
