Microsoft Corporation Virtual Machine
Geekbench AI Score
1872
Single Precision Score
1870
Half Precision Score
1361
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 18 2025 05:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD EPYC 7V13 64-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Microsoft Corporation Virtual Machine |
| Motherboard | Microsoft Corporation Virtual Machine |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7V13 64-Core Processor |
| Topology | 1 Processor, 24 Cores |
| Identifier | AuthenticAMD Family 25 Model 1 Stepping 1 |
| Base Frequency | 2.43 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 216.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1205
224.0 IPS |
|
|
Image Classification (HP)
|
100% |
1193
221.8 IPS |
|
|
Image Classification (Q)
|
99% |
991
184.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2075
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2107
34.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
867
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3285
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
3278
3.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
3850
4.51 IPS |
|
|
Object Detection (SP)
|
100% |
1379
109.4 IPS |
|
|
Object Detection (HP)
|
100% |
1415
112.2 IPS |
|
|
Object Detection (Q)
|
85% |
1145
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
2104
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2103
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
2058
24.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2133
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2123
16.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1611
15.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3607
4.64 IPS |
|
|
Style Transfer (HP)
|
100% |
3646
4.69 IPS |
|
|
Style Transfer (Q)
|
98% |
5507
7.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1115
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1116
41.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1360
50.4 IPS |
|
|
Text Classification (SP)
|
100% |
1115
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1079
1.44 KIPS |
|
|
Text Classification (Q)
|
92% |
503
676.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2327
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2294
39.5 IPS |
|
|
Machine Translation (Q)
|
58% |
461
10.8 IPS |
