VMware, Inc. VMware20,1
Geekbench AI Score
9069
Single Precision Score
15734
Half Precision Score
23212
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% |
4886
908.7 IPS |
|
|
Image Classification (HP)
|
100% |
9362
1.74 KIPS |
|
|
Image Classification (Q)
|
100% |
10774
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7607
123.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3262
52.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19777
320.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15579
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
83942
97.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
151979
178.0 IPS |
|
|
Object Detection (SP)
|
100% |
5177
410.6 IPS |
|
|
Object Detection (HP)
|
100% |
8609
682.8 IPS |
|
|
Object Detection (Q)
|
88% |
11029
884.1 IPS |
|
|
Face Detection (SP)
|
100% |
17342
206.1 IPS |
|
|
Face Detection (HP)
|
100% |
20549
244.2 IPS |
|
|
Face Detection (Q)
|
100% |
30344
360.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16013
123.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
34022
262.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
39290
305.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43068
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
182173
234.2 IPS |
|
|
Style Transfer (Q)
|
98% |
318759
411.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8024
296.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21494
793.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23452
868.5 IPS |
|
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3077
4.11 KIPS |
|
|
Text Classification (Q)
|
92% |
2919
3.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4532
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5002
86.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4887
84.2 IPS |
