Microsoft Corporation Virtual Machine
Geekbench AI Score
3288
Single Precision Score
1183
Half Precision Score
4641
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 18 2025 07:46 PM |
| Views | 4 |
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, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 1 Stepping 1 |
| Base Frequency | 2.44 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 127.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2273
422.6 IPS |
|
|
Image Classification (HP)
|
100% |
379
70.5 IPS |
|
|
Image Classification (Q)
|
96% |
4059
758.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1635
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
556
9.02 IPS |
|
|
Image Segmentation (Q)
|
97% |
2250
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9418
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6434
7.51 IPS |
|
|
Pose Estimation (Q)
|
86% |
16834
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2140
169.7 IPS |
|
|
Object Detection (HP)
|
100% |
516
41.0 IPS |
|
|
Object Detection (Q)
|
58% |
3587
392.0 IPS |
|
|
Face Detection (SP)
|
100% |
5548
65.9 IPS |
|
|
Face Detection (HP)
|
100% |
1114
13.2 IPS |
|
|
Face Detection (Q)
|
96% |
7259
86.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8123
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1835
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
11389
90.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18610
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13096
16.8 IPS |
|
|
Style Transfer (Q)
|
87% |
25265
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1718
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1456
53.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2173
80.5 IPS |
|
|
Text Classification (SP)
|
100% |
910
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
419
558.9 IPS |
|
|
Text Classification (Q)
|
97% |
923
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1508
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (Q)
|
68% |
2008
38.8 IPS |
