VMware, Inc. VMware20,1
Geekbench AI Score
9015
Single Precision Score
15629
Half Precision Score
22835
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 02:32 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% |
4696
873.3 IPS |
|
|
Image Classification (HP)
|
100% |
9135
1.70 KIPS |
|
|
Image Classification (Q)
|
100% |
10453
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7511
121.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3253
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19497
316.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15502
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
82628
96.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
149548
175.1 IPS |
|
|
Object Detection (SP)
|
100% |
5230
414.8 IPS |
|
|
Object Detection (HP)
|
100% |
8819
699.5 IPS |
|
|
Object Detection (Q)
|
88% |
10742
861.1 IPS |
|
|
Face Detection (SP)
|
100% |
17500
207.9 IPS |
|
|
Face Detection (HP)
|
100% |
20704
246.0 IPS |
|
|
Face Detection (Q)
|
100% |
30312
360.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15850
122.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34053
262.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
38948
303.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42876
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
176852
227.3 IPS |
|
|
Style Transfer (Q)
|
98% |
313315
404.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7929
292.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21396
790.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23756
879.8 IPS |
|
|
Text Classification (SP)
|
100% |
2892
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3037
4.05 KIPS |
|
|
Text Classification (Q)
|
92% |
2851
3.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4549
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4958
85.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4701
81.0 IPS |
