QEMU KVM Virtual Machine
Geekbench AI Score
443
Single Precision Score
600
Half Precision Score
1303
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | urostor |
| Upload Date | March 07 2025 01:17 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | virt-8.2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | QEMU KVM Virtual Machine |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | virt-8.2 |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model D0B Revision 400 |
| Base Frequency | 2.34 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 6.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
208
38.7 IPS |
|
|
Image Classification (HP)
|
100% |
405
75.4 IPS |
|
|
Image Classification (Q)
|
99% |
720
134.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
136
2.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
686
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
784
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
763
0.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
2955
3.47 IPS |
|
|
Object Detection (SP)
|
100% |
241
19.2 IPS |
|
|
Object Detection (HP)
|
99% |
387
30.8 IPS |
|
|
Object Detection (Q)
|
86% |
1099
88.3 IPS |
|
|
Face Detection (SP)
|
100% |
578
6.87 IPS |
|
|
Face Detection (HP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
1956
23.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
614
4.73 IPS |
|
|
Depth Estimation (HP)
|
98% |
927
7.16 IPS |
|
|
Depth Estimation (Q)
|
79% |
2462
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1973
2.54 IPS |
|
|
Style Transfer (HP)
|
100% |
2483
3.19 IPS |
|
|
Style Transfer (Q)
|
98% |
5356
6.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
388
14.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
259
9.58 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
874
32.4 IPS |
|
|
Text Classification (SP)
|
100% |
411
549.0 IPS |
|
|
Text Classification (HP)
|
100% |
230
307.0 IPS |
|
|
Text Classification (Q)
|
97% |
447
598.7 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (HP)
|
99% |
351
6.06 IPS |
|
|
Machine Translation (Q)
|
65% |
876
17.6 IPS |
