QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
2955
Single Precision Score
1227
Half Precision Score
5472
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 14 2025 09:48 AM |
| Views | 5 |
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 | 8.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2324
432.2 IPS |
|
|
Image Classification (HP)
|
100% |
428
79.6 IPS |
|
|
Image Classification (Q)
|
99% |
5000
932.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6265
101.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4686
5.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3889
4.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
16178
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2231
177.0 IPS |
|
|
Object Detection (HP)
|
100% |
573
45.4 IPS |
|
|
Object Detection (Q)
|
86% |
5052
406.0 IPS |
|
|
Face Detection (SP)
|
100% |
5270
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
1256
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
6888
82.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6250
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1779
13.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6120
48.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11395
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9453
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22222
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1808
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1721
63.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3661
135.6 IPS |
|
|
Text Classification (SP)
|
100% |
1284
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
538
718.3 IPS |
|
|
Text Classification (Q)
|
97% |
1111
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1789
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2471
49.7 IPS |
