Microsoft Corporation Virtual Machine
Geekbench AI Score
1094
Single Precision Score
617
Half Precision Score
2485
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | April 16 2026 04:14 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% |
734
136.5 IPS |
|
|
Image Classification (HP)
|
100% |
299
55.7 IPS |
|
|
Image Classification (Q)
|
99% |
1938
361.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
1993
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1322
1.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1081
1.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
4285
5.02 IPS |
|
|
Object Detection (SP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (HP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (Q)
|
86% |
1673
134.5 IPS |
|
|
Face Detection (SP)
|
100% |
1766
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
695
8.26 IPS |
|
|
Face Detection (Q)
|
97% |
3089
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1700
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
812
6.26 IPS |
|
|
Depth Estimation (Q)
|
78% |
3957
31.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3318
4.26 IPS |
|
|
Style Transfer (HP)
|
100% |
2314
2.97 IPS |
|
|
Style Transfer (Q)
|
98% |
6797
8.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
592
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2208
81.8 IPS |
|
|
Text Classification (SP)
|
100% |
795
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
493
658.0 IPS |
|
|
Text Classification (Q)
|
97% |
975
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1150
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (Q)
|
65% |
1815
36.5 IPS |
