VMware, Inc. VMware20,1
Geekbench AI Score
9038
Single Precision Score
15690
Half Precision Score
23160
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% |
4737
880.9 IPS |
|
|
Image Classification (HP)
|
100% |
9135
1.70 KIPS |
|
|
Image Classification (Q)
|
100% |
10796
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7444
120.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3254
52.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19550
316.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15484
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
83446
97.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
152500
178.6 IPS |
|
|
Object Detection (SP)
|
100% |
5299
420.3 IPS |
|
|
Object Detection (HP)
|
100% |
8790
697.2 IPS |
|
|
Object Detection (Q)
|
88% |
11016
883.0 IPS |
|
|
Face Detection (SP)
|
100% |
17281
205.3 IPS |
|
|
Face Detection (HP)
|
100% |
20759
246.7 IPS |
|
|
Face Detection (Q)
|
100% |
30485
362.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16145
124.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
33855
260.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
39174
304.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43048
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
179240
230.4 IPS |
|
|
Style Transfer (Q)
|
98% |
317628
409.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7982
294.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21459
792.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23485
869.7 IPS |
|
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3027
4.04 KIPS |
|
|
Text Classification (Q)
|
92% |
2877
3.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4545
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5071
87.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4886
84.2 IPS |
