VMware, Inc. VMware7,1
Geekbench AI Score
285
Single Precision Score
178
Half Precision Score
255
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 05 2025 11:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2620 v2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | VMware, Inc. VMware7,1 |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2620 v2 |
| Topology | 2 Processors, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Type | DRAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
171
31.9 IPS |
|
|
Image Classification (HP)
|
100% |
88
16.3 IPS |
|
|
Image Classification (Q)
|
96% |
188
35.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
151
2.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
122
1.98 IPS |
|
|
Image Segmentation (Q)
|
97% |
155
2.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
373
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
279
0.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
362
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
185
14.7 IPS |
|
|
Object Detection (HP)
|
100% |
97
7.68 IPS |
|
|
Object Detection (Q)
|
58% |
132
14.5 IPS |
|
|
Face Detection (SP)
|
100% |
544
6.46 IPS |
|
|
Face Detection (HP)
|
100% |
241
2.86 IPS |
|
|
Face Detection (Q)
|
96% |
428
5.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
461
3.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
265
2.04 IPS |
|
|
Depth Estimation (Q)
|
78% |
415
3.30 IPS |
|
|
Style Transfer (SP)
|
100% |
911
1.17 IPS |
|
|
Style Transfer (HP)
|
100% |
733
0.94 IPS |
|
|
Style Transfer (Q)
|
87% |
818
1.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
199
7.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
160
5.90 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
193
7.16 IPS |
|
|
Text Classification (SP)
|
100% |
177
236.3 IPS |
|
|
Text Classification (HP)
|
100% |
122
163.5 IPS |
|
|
Text Classification (Q)
|
97% |
121
162.6 IPS |
|
|
Machine Translation (SP)
|
100% |
254
4.38 IPS |
|
|
Machine Translation (HP)
|
100% |
124
2.13 IPS |
|
|
Machine Translation (Q)
|
68% |
248
4.79 IPS |
