Microsoft Corporation Virtual Machine
Geekbench AI Score
1431
Single Precision Score
755
Half Precision Score
3534
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dragokeys |
| Upload Date | February 09 2025 02:31 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Microsoft Corporation Virtual Machine |
| Motherboard | Microsoft Corporation Virtual Machine |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.49 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1073
199.6 IPS |
|
|
Image Classification (HP)
|
100% |
321
59.7 IPS |
|
|
Image Classification (Q)
|
99% |
3119
581.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
420
6.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
1681
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1696
1.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
1535
1.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
7763
9.10 IPS |
|
|
Object Detection (SP)
|
100% |
890
70.6 IPS |
|
|
Object Detection (HP)
|
100% |
369
29.3 IPS |
|
|
Object Detection (Q)
|
86% |
3354
269.6 IPS |
|
|
Face Detection (SP)
|
100% |
2503
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
859
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
5247
62.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2439
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1131
8.71 IPS |
|
|
Depth Estimation (Q)
|
78% |
7388
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4616
5.93 IPS |
|
|
Style Transfer (HP)
|
100% |
4064
5.22 IPS |
|
|
Style Transfer (Q)
|
98% |
9807
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
916
33.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
823
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2045
75.7 IPS |
|
|
Text Classification (SP)
|
100% |
953
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
542
723.8 IPS |
|
|
Text Classification (Q)
|
97% |
1266
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1175
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.78 IPS |
|
|
Machine Translation (Q)
|
65% |
2262
45.4 IPS |
