QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
1623
Single Precision Score
492
Half Precision Score
2007
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | qcpi069 |
| Upload Date | April 19 2025 06:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | QEMU Virtual CPU version 2.5+ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | QEMU Virtual CPU version 2.5+ |
| Topology | 2 Processors, 64 Cores |
| Identifier | GenuineIntel Family 15 Model 107 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 64 Cores |
| Memory Information | |
|---|---|
| Size | 200.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1196
222.4 IPS |
|
|
Image Classification (HP)
|
100% |
164
30.4 IPS |
|
|
Image Classification (Q)
|
96% |
1828
341.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
617
10.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
278
4.51 IPS |
|
|
Image Segmentation (Q)
|
97% |
1031
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3920
4.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1399
1.63 IPS |
|
|
Pose Estimation (Q)
|
86% |
5318
6.29 IPS |
|
|
Object Detection (SP)
|
100% |
1194
94.7 IPS |
|
|
Object Detection (HP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (Q)
|
58% |
1637
178.9 IPS |
|
|
Face Detection (SP)
|
100% |
4054
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
480
5.71 IPS |
|
|
Face Detection (Q)
|
96% |
3717
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4304
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
713
5.49 IPS |
|
|
Depth Estimation (Q)
|
78% |
4063
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9097
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
3445
4.43 IPS |
|
|
Style Transfer (Q)
|
87% |
7659
9.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1094
40.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
790
29.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
987
36.6 IPS |
|
|
Text Classification (SP)
|
100% |
383
511.3 IPS |
|
|
Text Classification (HP)
|
100% |
251
334.6 IPS |
|
|
Text Classification (Q)
|
97% |
551
737.7 IPS |
|
|
Machine Translation (SP)
|
100% |
554
9.55 IPS |
|
|
Machine Translation (HP)
|
100% |
259
4.47 IPS |
|
|
Machine Translation (Q)
|
68% |
1028
19.9 IPS |
