Microsoft Corporation Virtual Machine
Geekbench AI Score
4827
Single Precision Score
3238
Half Precision Score
16359
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 30 2025 02:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) 6515P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard (64-bit) |
| Model | Microsoft Corporation Virtual Machine |
| Motherboard | Microsoft Corporation Virtual Machine |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) 6515P |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 173 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2633
489.7 IPS |
|
|
Image Classification (HP)
|
100% |
2142
398.3 IPS |
|
|
Image Classification (Q)
|
100% |
7617
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3603
58.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1393
22.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11418
185.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7541
8.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
4776
5.57 IPS |
|
|
Pose Estimation (Q)
|
97% |
82255
96.3 IPS |
|
|
Object Detection (SP)
|
100% |
2907
230.6 IPS |
|
|
Object Detection (HP)
|
100% |
2207
175.1 IPS |
|
|
Object Detection (Q)
|
88% |
7882
631.8 IPS |
|
|
Face Detection (SP)
|
100% |
9384
111.5 IPS |
|
|
Face Detection (HP)
|
100% |
6224
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
24590
292.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7915
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5697
43.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
34951
272.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21030
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11972
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
176151
227.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4073
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2703
99.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16856
624.2 IPS |
|
|
Text Classification (SP)
|
100% |
1931
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
1364
1.82 KIPS |
|
|
Text Classification (Q)
|
92% |
3144
4.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2688
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2575
44.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3035
52.3 IPS |
