Microsoft Corporation Virtual Machine
Geekbench AI Score
2522
Single Precision Score
2531
Half Precision Score
3795
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | DigitalWorkspace |
| Upload Date | May 27 2025 11:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD EPYC 7763 64-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Microsoft Corporation Virtual Machine |
| Motherboard | Microsoft Corporation Virtual Machine |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7763 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 25 Model 1 Stepping 1 |
| Base Frequency | 2.44 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 31.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1437
267.2 IPS |
|
|
Image Classification (HP)
|
100% |
1500
279.0 IPS |
|
|
Image Classification (Q)
|
100% |
2355
438.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1762
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2532
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2818
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2789
3.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
5574
6.54 IPS |
|
|
Object Detection (SP)
|
100% |
1435
113.8 IPS |
|
|
Object Detection (HP)
|
100% |
1459
115.7 IPS |
|
|
Object Detection (Q)
|
87% |
2483
199.1 IPS |
|
|
Face Detection (SP)
|
100% |
4403
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
4337
51.5 IPS |
|
|
Face Detection (Q)
|
97% |
6815
81.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3749
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3759
29.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
6413
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8177
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8181
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15778
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1705
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1714
63.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3266
121.0 IPS |
|
|
Text Classification (SP)
|
100% |
1540
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1544
2.06 KIPS |
|
|
Text Classification (Q)
|
91% |
1206
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2871
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2861
49.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2766
47.6 IPS |
