Microsoft Corporation Virtual Machine
Geekbench AI Score
1092
Single Precision Score
650
Half Precision Score
2556
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 14 2025 02:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 4464P 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Standard Evaluation (64-bit) |
| Model | Microsoft Corporation Virtual Machine |
| Motherboard | Microsoft Corporation Virtual Machine |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD EPYC 4464P 12-Core Processor |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.69 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 5.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
621
115.4 IPS |
|
|
Image Classification (HP)
|
100% |
312
58.1 IPS |
|
|
Image Classification (Q)
|
99% |
1855
346.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
1914
31.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1217
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1060
1.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
4518
5.30 IPS |
|
|
Object Detection (SP)
|
100% |
708
56.1 IPS |
|
|
Object Detection (HP)
|
100% |
356
28.3 IPS |
|
|
Object Detection (Q)
|
86% |
1815
145.9 IPS |
|
|
Face Detection (SP)
|
100% |
2038
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
819
9.74 IPS |
|
|
Face Detection (Q)
|
97% |
3396
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1699
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
925
7.13 IPS |
|
|
Depth Estimation (Q)
|
78% |
4246
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3297
4.24 IPS |
|
|
Style Transfer (HP)
|
100% |
2654
3.41 IPS |
|
|
Style Transfer (Q)
|
98% |
8111
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
695
25.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
616
22.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1947
72.1 IPS |
|
|
Text Classification (SP)
|
100% |
760
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
480
640.2 IPS |
|
|
Text Classification (Q)
|
97% |
941
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.81 IPS |
|
|
Machine Translation (Q)
|
65% |
1909
38.4 IPS |
