VMware, Inc. VMware20,1
Geekbench ML Score
2151
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 16 2025 12:37 PM |
| Views | 2 |
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 i5-1135G7 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
| Type | DRAM |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1101
206.0 IPS |
|
|
Image Classification (F16)
|
100% |
1130
211.4 IPS |
|
|
Image Classification (I8)
|
99% |
2178
407.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
886
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
830
13.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1934
32.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
2837
3.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
3026
3.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
10486
12.7 IPS |
|
|
Object Detection (F32)
|
100% |
999
74.6 IPS |
|
|
Object Detection (F16)
|
100% |
921
68.7 IPS |
|
|
Object Detection (I8)
|
62% |
1251
93.4 IPS |
|
|
Face Detection (F32)
|
100% |
1934
23.0 IPS |
|
|
Face Detection (F16)
|
100% |
1877
22.3 IPS |
|
|
Face Detection (I8)
|
89% |
3314
39.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3552
27.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3555
27.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
8548
66.3 IPS |
|
|
Style Transfer (F32)
|
100% |
7404
9.74 IPS |
|
|
Style Transfer (F16)
|
100% |
6865
9.03 IPS |
|
|
Style Transfer (I8)
|
98% |
13096
17.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1626
58.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1600
57.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2938
104.9 IPS |
|
|
Text Classification (F32)
|
100% |
1129
1.62 KIPS |
|
|
Text Classification (F16)
|
100% |
1075
1.54 KIPS |
|
|
Text Classification (I8)
|
98% |
919
1.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
1212
22.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1379
25.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1940
35.7 IPS |
