Github Actions Windows Server 2025 Runner Microsoft Corporation Virtual Machine
Geekbench AI Score
1199
Single Precision Score
709
Half Precision Score
1762
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | iambjlu |
| Upload Date | December 04 2025 01:47 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 7763 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (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, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 25 Model 1 Stepping 1 |
| Base Frequency | 2.44 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
768
142.8 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.4 IPS |
|
|
Image Classification (Q)
|
96% |
1226
228.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
735
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
436
7.06 IPS |
|
|
Image Segmentation (Q)
|
97% |
1417
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1344
1.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1174
1.37 IPS |
|
|
Pose Estimation (Q)
|
86% |
2586
3.06 IPS |
|
|
Object Detection (SP)
|
100% |
733
58.1 IPS |
|
|
Object Detection (HP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (Q)
|
58% |
865
94.5 IPS |
|
|
Face Detection (SP)
|
100% |
2176
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
880
10.5 IPS |
|
|
Face Detection (Q)
|
96% |
2680
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1885
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
982
7.56 IPS |
|
|
Depth Estimation (Q)
|
78% |
2810
22.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3518
4.52 IPS |
|
|
Style Transfer (HP)
|
100% |
2816
3.62 IPS |
|
|
Style Transfer (Q)
|
87% |
5753
7.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
762
28.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
656
24.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1300
48.2 IPS |
|
|
Text Classification (SP)
|
100% |
792
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
513
685.2 IPS |
|
|
Text Classification (Q)
|
97% |
809
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (Q)
|
68% |
1631
31.5 IPS |
