VMware, Inc. VMware20,1
Geekbench AI Score
8994
Single Precision Score
15431
Half Precision Score
23000
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% |
4916
914.3 IPS |
|
|
Image Classification (HP)
|
100% |
9147
1.70 KIPS |
|
|
Image Classification (Q)
|
100% |
10890
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7512
121.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3093
50.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19365
313.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14461
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
82668
96.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
151807
177.8 IPS |
|
|
Object Detection (SP)
|
100% |
5179
410.8 IPS |
|
|
Object Detection (HP)
|
100% |
8691
689.4 IPS |
|
|
Object Detection (Q)
|
88% |
10913
874.8 IPS |
|
|
Face Detection (SP)
|
100% |
17499
207.9 IPS |
|
|
Face Detection (HP)
|
100% |
20272
240.9 IPS |
|
|
Face Detection (Q)
|
100% |
30075
357.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16180
124.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
34053
262.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
38996
303.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43030
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
178961
230.1 IPS |
|
|
Style Transfer (Q)
|
98% |
319149
411.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8021
296.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21291
786.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23383
866.0 IPS |
|
|
Text Classification (SP)
|
100% |
2825
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (Q)
|
92% |
2812
3.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4540
78.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4879
84.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4819
83.0 IPS |
