Microsoft Corporation Virtual Machine
Geekbench AI Score
818
Single Precision Score
384
Half Precision Score
830
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sure |
| Upload Date | April 10 2025 07:54 AM |
| Views | 7 |
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, 1 Core, 2 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 1 Core |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
521
97.0 IPS |
|
|
Image Classification (HP)
|
100% |
114
21.2 IPS |
|
|
Image Classification (Q)
|
96% |
706
131.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
410
6.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
268
4.35 IPS |
|
|
Image Segmentation (Q)
|
97% |
380
6.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
1167
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
781
0.91 IPS |
|
|
Pose Estimation (Q)
|
86% |
1637
1.93 IPS |
|
|
Object Detection (SP)
|
100% |
534
42.4 IPS |
|
|
Object Detection (HP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (Q)
|
58% |
436
47.7 IPS |
|
|
Face Detection (SP)
|
100% |
1108
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
422
5.02 IPS |
|
|
Face Detection (Q)
|
96% |
1464
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1359
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
565
4.36 IPS |
|
|
Depth Estimation (Q)
|
78% |
1557
12.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2752
3.54 IPS |
|
|
Style Transfer (HP)
|
100% |
1553
2.00 IPS |
|
|
Style Transfer (Q)
|
87% |
2694
3.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
585
21.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
383
14.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
699
25.9 IPS |
|
|
Text Classification (SP)
|
100% |
528
705.4 IPS |
|
|
Text Classification (HP)
|
100% |
319
426.4 IPS |
|
|
Text Classification (Q)
|
97% |
216
289.4 IPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (Q)
|
68% |
877
16.9 IPS |
