Microsoft Corporation Virtual Machine
Geekbench AI Score
2076
Single Precision Score
847
Half Precision Score
2939
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 08:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 7V73X 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 7V73X 64-Core Processor |
| Topology | 2 Processors, 120 Cores |
| Identifier | AuthenticAMD Family 25 Model 1 Stepping 2 |
| Base Frequency | 1.85 GHz |
| Cluster 1 | 60 Cores |
| Memory Information | |
|---|---|
| Size | 455.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
956
177.8 IPS |
|
|
Image Classification (HP)
|
100% |
274
51.0 IPS |
|
|
Image Classification (Q)
|
96% |
1718
320.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
409
6.63 IPS |
|
|
Image Segmentation (Q)
|
97% |
1757
28.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16669
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
3856
4.50 IPS |
|
|
Pose Estimation (Q)
|
86% |
25266
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
1035
82.1 IPS |
|
|
Object Detection (HP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (Q)
|
58% |
1612
176.2 IPS |
|
|
Face Detection (SP)
|
100% |
2619
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
792
9.41 IPS |
|
|
Face Detection (Q)
|
96% |
4380
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5787
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1467
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7650
61.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18732
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11916
15.3 IPS |
|
|
Style Transfer (Q)
|
87% |
22628
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
966
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
871
32.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1420
52.6 IPS |
|
|
Text Classification (SP)
|
100% |
609
813.0 IPS |
|
|
Text Classification (HP)
|
100% |
304
405.1 IPS |
|
|
Text Classification (Q)
|
97% |
255
341.5 IPS |
|
|
Machine Translation (SP)
|
100% |
469
8.07 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (Q)
|
68% |
1429
27.6 IPS |
