VMware, Inc. VMware20,1
Geekbench AI Score
950
Single Precision Score
929
Half Precision Score
1419
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 26 2024 02:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2697 v2 @ 2.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | VMware, Inc. VMware20,1 |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697 v2 |
| Topology | 2 Processors, 48 Cores |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 48 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Type | DRAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
393
73.0 IPS |
|
|
Image Classification (HP)
|
100% |
553
102.8 IPS |
|
|
Image Classification (Q)
|
100% |
1031
191.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
731
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1711
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1314
1.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1250
1.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
3102
3.64 IPS |
|
|
Object Detection (SP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (HP)
|
100% |
566
44.9 IPS |
|
|
Object Detection (Q)
|
87% |
1103
88.5 IPS |
|
|
Face Detection (SP)
|
100% |
1465
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
1324
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
2980
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2165
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2094
16.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
3555
28.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3910
5.03 IPS |
|
|
Style Transfer (HP)
|
100% |
3867
4.97 IPS |
|
|
Style Transfer (Q)
|
98% |
8771
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
797
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
917
33.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1597
59.1 IPS |
|
|
Text Classification (SP)
|
100% |
499
666.6 IPS |
|
|
Text Classification (HP)
|
100% |
344
459.5 IPS |
|
|
Text Classification (Q)
|
91% |
68
91.4 IPS |
|
|
Machine Translation (SP)
|
100% |
565
9.73 IPS |
|
|
Machine Translation (HP)
|
100% |
539
9.29 IPS |
|
|
Machine Translation (Q)
|
100% |
546
9.40 IPS |
