Microsoft Corporation Virtual Machine
Geekbench AI Score
11968
Single Precision Score
7783
Half Precision Score
30750
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 30 2025 01:56 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, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 173 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6635
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
5795
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
14843
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10693
173.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4007
65.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
29171
472.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20539
24.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12622
14.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
206424
241.7 IPS |
|
|
Object Detection (SP)
|
100% |
7105
563.5 IPS |
|
|
Object Detection (HP)
|
100% |
5269
418.0 IPS |
|
|
Object Detection (Q)
|
88% |
14294
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
22834
271.3 IPS |
|
|
Face Detection (HP)
|
100% |
15366
182.6 IPS |
|
|
Face Detection (Q)
|
100% |
41134
488.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21777
167.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15597
120.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
54487
424.0 IPS |
|
|
Style Transfer (SP)
|
100% |
58426
75.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32736
42.1 IPS |
|
|
Style Transfer (Q)
|
98% |
419048
540.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10054
371.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6875
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30239
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3657
4.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1915
2.56 KIPS |
|
|
Text Classification (Q)
|
92% |
3514
4.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5453
93.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5117
88.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5929
102.1 IPS |
