VMware, Inc. VMware20,1
Geekbench AI Score
9139
Single Precision Score
15758
Half Precision Score
23364
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 02:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) 6730P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard (64-bit) |
| Model | VMware, Inc. VMware20,1 |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) 6730P |
| Topology | 1 Processor, 12 Cores |
| Identifier | GenuineIntel Family 6 Model 173 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
| Type | DRAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4926
916.0 IPS |
|
|
Image Classification (HP)
|
100% |
9249
1.72 KIPS |
|
|
Image Classification (Q)
|
100% |
11169
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7699
124.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3278
53.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20217
327.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15484
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
83378
97.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
152030
178.0 IPS |
|
|
Object Detection (SP)
|
100% |
5246
416.1 IPS |
|
|
Object Detection (HP)
|
100% |
8864
703.1 IPS |
|
|
Object Detection (Q)
|
88% |
11063
886.9 IPS |
|
|
Face Detection (SP)
|
100% |
17612
209.3 IPS |
|
|
Face Detection (HP)
|
100% |
20874
248.0 IPS |
|
|
Face Detection (Q)
|
100% |
30344
360.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16303
125.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34019
262.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
39076
304.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43170
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
182414
234.5 IPS |
|
|
Style Transfer (Q)
|
98% |
322638
416.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8006
295.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21060
777.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23495
870.1 IPS |
|
|
Text Classification (SP)
|
100% |
2879
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3081
4.11 KIPS |
|
|
Text Classification (Q)
|
92% |
2876
3.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4622
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5016
86.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4939
85.1 IPS |
