Microsoft Corporation Virtual Machine
Geekbench AI Score
975
Single Precision Score
548
Half Precision Score
1991
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | April 16 2026 04:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11850H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Virtual Machine |
| Motherboard | Microsoft Corporation Virtual Machine |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11850H |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
639
118.8 IPS |
|
|
Image Classification (HP)
|
100% |
255
47.3 IPS |
|
|
Image Classification (Q)
|
99% |
1657
309.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
522
8.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
1788
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1211
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
987
1.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
3958
4.64 IPS |
|
|
Object Detection (SP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (HP)
|
100% |
308
24.4 IPS |
|
|
Object Detection (Q)
|
86% |
1670
134.2 IPS |
|
|
Face Detection (SP)
|
100% |
1736
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
715
8.50 IPS |
|
|
Face Detection (Q)
|
97% |
3166
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1568
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
721
5.55 IPS |
|
|
Depth Estimation (Q)
|
78% |
3527
28.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2964
3.81 IPS |
|
|
Style Transfer (HP)
|
100% |
2158
2.77 IPS |
|
|
Style Transfer (Q)
|
98% |
6240
8.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
657
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
503
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
922
34.1 IPS |
|
|
Text Classification (SP)
|
100% |
628
837.6 IPS |
|
|
Text Classification (HP)
|
100% |
360
480.5 IPS |
|
|
Text Classification (Q)
|
97% |
470
629.3 IPS |
|
|
Machine Translation (SP)
|
100% |
966
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (Q)
|
65% |
1657
33.3 IPS |
