VMware, Inc. VMware7,1
Geekbench AI Score
334
Single Precision Score
206
Half Precision Score
281
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 05 2025 02:16 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% |
199
37.0 IPS |
|
|
Image Classification (HP)
|
100% |
92
17.0 IPS |
|
|
Image Classification (Q)
|
96% |
197
36.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
165
2.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
145
2.34 IPS |
|
|
Image Segmentation (Q)
|
97% |
162
2.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
437
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
327
0.38 IPS |
|
|
Pose Estimation (Q)
|
86% |
429
0.51 IPS |
|
|
Object Detection (SP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.73 IPS |
|
|
Object Detection (Q)
|
58% |
145
15.9 IPS |
|
|
Face Detection (SP)
|
100% |
633
7.52 IPS |
|
|
Face Detection (HP)
|
100% |
292
3.47 IPS |
|
|
Face Detection (Q)
|
96% |
532
6.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
567
4.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
321
2.47 IPS |
|
|
Depth Estimation (Q)
|
78% |
433
3.45 IPS |
|
|
Style Transfer (SP)
|
100% |
1103
1.42 IPS |
|
|
Style Transfer (HP)
|
100% |
855
1.10 IPS |
|
|
Style Transfer (Q)
|
87% |
940
1.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
233
8.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
186
6.88 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
232
8.61 IPS |
|
|
Text Classification (SP)
|
100% |
211
281.8 IPS |
|
|
Text Classification (HP)
|
100% |
144
191.8 IPS |
|
|
Text Classification (Q)
|
97% |
127
170.5 IPS |
|
|
Machine Translation (SP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (HP)
|
100% |
137
2.36 IPS |
|
|
Machine Translation (Q)
|
68% |
245
4.73 IPS |
