Microsoft Corporation Virtual Machine
Geekbench AI Score
1980
Single Precision Score
958
Half Precision Score
2748
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | DigitalWorkspace |
| Upload Date | May 27 2025 11:33 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 7763 |
| 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% |
1414
262.9 IPS |
|
|
Image Classification (HP)
|
100% |
401
74.6 IPS |
|
|
Image Classification (Q)
|
96% |
2201
410.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1021
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
546
8.86 IPS |
|
|
Image Segmentation (Q)
|
97% |
1541
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2618
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2245
2.62 IPS |
|
|
Pose Estimation (Q)
|
86% |
5030
5.95 IPS |
|
|
Object Detection (SP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (HP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (Q)
|
58% |
1626
177.7 IPS |
|
|
Face Detection (SP)
|
100% |
3816
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
1078
12.8 IPS |
|
|
Face Detection (Q)
|
96% |
4297
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3202
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1413
10.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
5309
42.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6692
8.60 IPS |
|
|
Style Transfer (HP)
|
100% |
5343
6.87 IPS |
|
|
Style Transfer (Q)
|
87% |
10172
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1325
48.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1160
42.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1750
64.9 IPS |
|
|
Text Classification (SP)
|
100% |
983
1.31 KIPS |
|
|
Text Classification (HP)
|
100% |
533
711.6 IPS |
|
|
Text Classification (Q)
|
97% |
1040
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1722
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (Q)
|
68% |
2099
40.5 IPS |
