VMware, Inc. VMware20,1
Geekbench AI Score
8927
Single Precision Score
15062
Half Precision Score
22958
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% |
4811
894.8 IPS |
|
|
Image Classification (HP)
|
100% |
9222
1.72 KIPS |
|
|
Image Classification (Q)
|
100% |
10910
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7480
121.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3257
52.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19561
317.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15409
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
60542
70.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
147286
172.5 IPS |
|
|
Object Detection (SP)
|
100% |
4959
393.3 IPS |
|
|
Object Detection (HP)
|
100% |
8531
676.7 IPS |
|
|
Object Detection (Q)
|
88% |
10787
864.7 IPS |
|
|
Face Detection (SP)
|
100% |
17344
206.1 IPS |
|
|
Face Detection (HP)
|
100% |
20033
238.0 IPS |
|
|
Face Detection (Q)
|
100% |
30177
358.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15690
120.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34013
262.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
39560
307.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42758
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
179212
230.4 IPS |
|
|
Style Transfer (Q)
|
98% |
318939
411.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7928
292.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21291
786.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23359
865.1 IPS |
|
|
Text Classification (SP)
|
100% |
2799
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2971
3.97 KIPS |
|
|
Text Classification (Q)
|
92% |
2765
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4528
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5015
86.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4879
84.0 IPS |
