VMware, Inc. VMware20,1
Geekbench AI Score
9065
Single Precision Score
15713
Half Precision Score
23162
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% |
4887
908.9 IPS |
|
|
Image Classification (HP)
|
100% |
9235
1.72 KIPS |
|
|
Image Classification (Q)
|
100% |
10877
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7643
123.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3257
52.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20031
324.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15335
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
83539
97.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
151509
177.4 IPS |
|
|
Object Detection (SP)
|
100% |
5203
412.7 IPS |
|
|
Object Detection (HP)
|
100% |
8763
695.1 IPS |
|
|
Object Detection (Q)
|
88% |
10956
878.2 IPS |
|
|
Face Detection (SP)
|
100% |
17390
206.6 IPS |
|
|
Face Detection (HP)
|
100% |
20617
245.0 IPS |
|
|
Face Detection (Q)
|
100% |
30342
360.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16062
123.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
34184
263.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
39101
304.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42986
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
180764
232.4 IPS |
|
|
Style Transfer (Q)
|
98% |
320836
413.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7988
295.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21334
787.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23323
863.7 IPS |
|
|
Text Classification (SP)
|
100% |
2833
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3070
4.10 KIPS |
|
|
Text Classification (Q)
|
92% |
2851
3.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4629
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4996
86.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4855
83.6 IPS |
