Microsoft Corporation Virtual Machine
Geekbench AI Score
1696
Single Precision Score
1666
Half Precision Score
2671
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | sso7746 |
| Upload Date | October 02 2025 11:40 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-10105 CPU @ 3.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | Microsoft Corporation Virtual Machine |
| Motherboard | Microsoft Corporation Virtual Machine |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10105 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 6.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
984
182.9 IPS |
|
|
Image Classification (HP)
|
100% |
997
185.5 IPS |
|
|
Image Classification (Q)
|
100% |
1813
337.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1007
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
923
15.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1901
30.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2253
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2244
2.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
4456
5.23 IPS |
|
|
Object Detection (SP)
|
100% |
893
70.9 IPS |
|
|
Object Detection (HP)
|
100% |
903
71.6 IPS |
|
|
Object Detection (Q)
|
87% |
1707
136.9 IPS |
|
|
Face Detection (SP)
|
100% |
1740
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
1747
20.8 IPS |
|
|
Face Detection (Q)
|
97% |
4448
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2648
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2535
19.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
4511
35.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6422
8.26 IPS |
|
|
Style Transfer (HP)
|
100% |
6404
8.23 IPS |
|
|
Style Transfer (Q)
|
98% |
11997
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1258
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1189
43.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2734
101.3 IPS |
|
|
Text Classification (SP)
|
100% |
1669
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1610
2.15 KIPS |
|
|
Text Classification (Q)
|
91% |
680
913.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1596
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1632
28.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1581
27.2 IPS |
