Microsoft Corporation Virtual Machine
Geekbench AI Score
1724
Single Precision Score
868
Half Precision Score
2060
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sunjw8888 |
| Upload Date | February 08 2025 06:41 AM |
| Views | 20 |
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% |
1004
186.8 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.9 IPS |
|
|
Image Classification (Q)
|
96% |
2033
379.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1015
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
917
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2253
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1942
2.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
4443
5.25 IPS |
|
|
Object Detection (SP)
|
100% |
1195
94.8 IPS |
|
|
Object Detection (HP)
|
100% |
441
35.0 IPS |
|
|
Object Detection (Q)
|
58% |
1273
139.1 IPS |
|
|
Face Detection (SP)
|
100% |
3265
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
1075
12.8 IPS |
|
|
Face Detection (Q)
|
96% |
3772
45.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2997
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1299
10.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
5007
40.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5690
7.31 IPS |
|
|
Style Transfer (HP)
|
100% |
4784
6.15 IPS |
|
|
Style Transfer (Q)
|
87% |
9386
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1215
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1045
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1559
57.8 IPS |
|
|
Text Classification (SP)
|
100% |
901
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
491
655.8 IPS |
|
|
Text Classification (Q)
|
97% |
288
385.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1389
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (Q)
|
68% |
1640
31.7 IPS |
