QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
671
Single Precision Score
366
Half Precision Score
1742
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 03:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.99 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
143
26.6 IPS |
|
|
Image Classification (HP)
|
100% |
84
15.7 IPS |
|
|
Image Classification (Q)
|
99% |
761
142.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
142
2.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
1991
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
737
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
760
0.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
10566
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
757
60.1 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.69 IPS |
|
|
Object Detection (Q)
|
86% |
768
61.7 IPS |
|
|
Face Detection (SP)
|
100% |
780
9.27 IPS |
|
|
Face Detection (HP)
|
100% |
385
4.57 IPS |
|
|
Face Detection (Q)
|
97% |
2015
24.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1062
8.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
789
6.08 IPS |
|
|
Depth Estimation (Q)
|
78% |
10720
85.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11774
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7885
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
4710
6.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
619
22.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
397
14.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
633
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
230
306.7 IPS |
|
|
Text Classification (HP)
|
100% |
154
205.7 IPS |
|
|
Text Classification (Q)
|
97% |
379
507.4 IPS |
|
|
Machine Translation (SP)
|
100% |
595
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
298
5.14 IPS |
|
|
Machine Translation (Q)
|
65% |
860
17.3 IPS |
