Microsoft Corporation Virtual Machine
Geekbench AI Score
2757
Single Precision Score
1217
Half Precision Score
3885
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 08:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 9V33X 96-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 9V33X 96-Core Processor |
| Topology | 2 Processors, 176 Cores |
| Identifier | AuthenticAMD Family 25 Model 17 Stepping 1 |
| Base Frequency | 2.55 GHz |
| Cluster 1 | 44 Cores |
| Memory Information | |
|---|---|
| Size | 767.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
917
170.6 IPS |
|
|
Image Classification (HP)
|
100% |
374
69.6 IPS |
|
|
Image Classification (Q)
|
99% |
2068
385.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
582
9.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
2121
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
31960
37.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
6489
7.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
33368
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
1119
88.8 IPS |
|
|
Object Detection (HP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
86% |
2816
226.3 IPS |
|
|
Face Detection (SP)
|
100% |
4684
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
1182
14.0 IPS |
|
|
Face Detection (Q)
|
97% |
4812
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6656
51.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2099
16.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
8031
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27014
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17366
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
41426
53.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1474
54.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1717
63.6 IPS |
|
|
Text Classification (SP)
|
100% |
969
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
372
497.2 IPS |
|
|
Text Classification (Q)
|
97% |
305
408.8 IPS |
|
|
Machine Translation (SP)
|
100% |
450
7.75 IPS |
|
|
Machine Translation (HP)
|
100% |
461
7.94 IPS |
|
|
Machine Translation (Q)
|
65% |
2267
45.6 IPS |
