QEMU KVM Virtual Machine
Geekbench AI Score
60
Single Precision Score
68
Half Precision Score
182
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | urostor |
| Upload Date | March 13 2025 05:56 PM |
| Views | 6 |
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 D05 Revision 200 |
| Base Frequency | 1.79 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 6.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
32
5.90 IPS |
|
|
Image Classification (HP)
|
100% |
29
5.42 IPS |
|
|
Image Classification (Q)
|
99% |
114
21.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
21
0.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
71
1.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
50
0.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
94
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
88
0.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
480
0.56 IPS |
|
|
Object Detection (SP)
|
100% |
35
2.80 IPS |
|
|
Object Detection (HP)
|
99% |
28
2.22 IPS |
|
|
Object Detection (Q)
|
86% |
154
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
84
0.99 IPS |
|
|
Face Detection (HP)
|
100% |
233
2.77 IPS |
|
|
Face Detection (Q)
|
97% |
305
3.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
89
0.68 IPS |
|
|
Depth Estimation (HP)
|
98% |
106
0.82 IPS |
|
|
Depth Estimation (Q)
|
79% |
370
2.94 IPS |
|
|
Style Transfer (SP)
|
100% |
251
0.32 IPS |
|
|
Style Transfer (HP)
|
100% |
403
0.52 IPS |
|
|
Style Transfer (Q)
|
98% |
888
1.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50
1.83 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26
0.94 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
114
4.21 IPS |
|
|
Text Classification (SP)
|
100% |
55
73.1 IPS |
|
|
Text Classification (HP)
|
100% |
32
43.0 IPS |
|
|
Text Classification (Q)
|
97% |
81
108.6 IPS |
|
|
Machine Translation (SP)
|
100% |
54
0.92 IPS |
|
|
Machine Translation (HP)
|
99% |
58
1.00 IPS |
|
|
Machine Translation (Q)
|
65% |
108
2.17 IPS |
