Microsoft Corporation Virtual Machine
Geekbench AI Score
1095
Single Precision Score
616
Half Precision Score
2410
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | April 16 2026 04:19 PM |
| Views | 3 |
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% |
739
137.4 IPS |
|
|
Image Classification (HP)
|
100% |
294
54.7 IPS |
|
|
Image Classification (Q)
|
99% |
1900
354.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
414
6.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
1924
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1321
1.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1092
1.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
4738
5.56 IPS |
|
|
Object Detection (SP)
|
100% |
748
59.3 IPS |
|
|
Object Detection (HP)
|
100% |
345
27.3 IPS |
|
|
Object Detection (Q)
|
86% |
1468
118.0 IPS |
|
|
Face Detection (SP)
|
100% |
1585
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
674
8.01 IPS |
|
|
Face Detection (Q)
|
97% |
2830
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1731
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
868
6.68 IPS |
|
|
Depth Estimation (Q)
|
78% |
4272
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3362
4.32 IPS |
|
|
Style Transfer (HP)
|
100% |
2281
2.93 IPS |
|
|
Style Transfer (Q)
|
98% |
7350
9.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
687
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
581
21.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2007
74.3 IPS |
|
|
Text Classification (SP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
474
632.5 IPS |
|
|
Text Classification (Q)
|
97% |
951
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1164
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
471
8.11 IPS |
|
|
Machine Translation (Q)
|
65% |
1537
30.9 IPS |
