VMware, Inc. VMware20,1
Geekbench AI Score
9100
Single Precision Score
15769
Half Precision Score
23243
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 03:44 AM |
| Views | 3 |
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% |
4818
896.0 IPS |
|
|
Image Classification (HP)
|
100% |
9300
1.73 KIPS |
|
|
Image Classification (Q)
|
100% |
10888
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7527
122.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3277
53.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19550
316.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15584
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
84093
98.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
151594
177.5 IPS |
|
|
Object Detection (SP)
|
100% |
5238
415.5 IPS |
|
|
Object Detection (HP)
|
100% |
8768
695.5 IPS |
|
|
Object Detection (Q)
|
88% |
11081
888.3 IPS |
|
|
Face Detection (SP)
|
100% |
17463
207.5 IPS |
|
|
Face Detection (HP)
|
100% |
20462
243.1 IPS |
|
|
Face Detection (Q)
|
100% |
30484
362.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16187
124.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
34068
262.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
38936
303.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43043
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
180633
232.2 IPS |
|
|
Style Transfer (Q)
|
98% |
319660
412.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8027
296.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21589
797.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23602
874.1 IPS |
|
|
Text Classification (SP)
|
100% |
2911
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3091
4.13 KIPS |
|
|
Text Classification (Q)
|
92% |
2930
3.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4628
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5037
86.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4907
84.5 IPS |
