Microsoft Corporation Virtual Machine
Geekbench AI Score
1277
Single Precision Score
487
Half Precision Score
1289
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sure |
| Upload Date | April 11 2025 10:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon Gold 6138 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard (64-bit) |
| Model | Microsoft Corporation Virtual Machine |
| Motherboard | Microsoft Corporation Virtual Machine |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 6138 |
| Topology | 1 Processor, 3 Cores, 6 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
955
177.7 IPS |
|
|
Image Classification (HP)
|
100% |
181
33.6 IPS |
|
|
Image Classification (Q)
|
96% |
1335
249.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
537
8.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
304
4.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
665
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2012
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1480
1.73 IPS |
|
|
Pose Estimation (Q)
|
86% |
3357
3.97 IPS |
|
|
Object Detection (SP)
|
100% |
849
67.3 IPS |
|
|
Object Detection (HP)
|
100% |
258
20.5 IPS |
|
|
Object Detection (Q)
|
58% |
717
78.3 IPS |
|
|
Face Detection (SP)
|
100% |
1979
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
491
5.84 IPS |
|
|
Face Detection (Q)
|
96% |
2412
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2794
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
666
5.13 IPS |
|
|
Depth Estimation (Q)
|
78% |
2808
22.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4246
5.46 IPS |
|
|
Style Transfer (HP)
|
100% |
2578
3.31 IPS |
|
|
Style Transfer (Q)
|
87% |
4671
6.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
806
29.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
602
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
991
36.7 IPS |
|
|
Text Classification (SP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
232
309.2 IPS |
|
|
Text Classification (Q)
|
97% |
184
246.3 IPS |
|
|
Machine Translation (SP)
|
100% |
924
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
306
5.28 IPS |
|
|
Machine Translation (Q)
|
68% |
1030
19.9 IPS |
