VMware, Inc. VMware20,1
Geekbench AI Score
9009
Single Precision Score
15681
Half Precision Score
23194
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 03:23 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% |
4890
909.5 IPS |
|
|
Image Classification (HP)
|
100% |
9245
1.72 KIPS |
|
|
Image Classification (Q)
|
100% |
11045
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7560
122.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3282
53.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20109
326.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15338
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
83710
97.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
150354
176.1 IPS |
|
|
Object Detection (SP)
|
100% |
5153
408.8 IPS |
|
|
Object Detection (HP)
|
100% |
8663
687.1 IPS |
|
|
Object Detection (Q)
|
88% |
10863
870.8 IPS |
|
|
Face Detection (SP)
|
100% |
17241
204.9 IPS |
|
|
Face Detection (HP)
|
100% |
21040
250.0 IPS |
|
|
Face Detection (Q)
|
100% |
30285
359.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15983
123.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
33705
259.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
38793
301.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42814
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
178617
229.6 IPS |
|
|
Style Transfer (Q)
|
98% |
316125
407.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7957
293.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21354
788.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23430
867.7 IPS |
|
|
Text Classification (SP)
|
100% |
2819
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3051
4.07 KIPS |
|
|
Text Classification (Q)
|
92% |
2894
3.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4556
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4953
85.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4933
85.0 IPS |
