QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
3099
Single Precision Score
1296
Half Precision Score
6121
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 14 2025 09:50 AM |
| Views | 9 |
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% |
2474
460.1 IPS |
|
|
Image Classification (HP)
|
100% |
465
86.5 IPS |
|
|
Image Classification (Q)
|
99% |
5333
994.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6634
107.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4976
5.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
4197
4.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
17143
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2365
187.6 IPS |
|
|
Object Detection (HP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
86% |
5309
426.6 IPS |
|
|
Face Detection (SP)
|
100% |
5462
64.9 IPS |
|
|
Face Detection (HP)
|
100% |
1324
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
7358
87.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6645
51.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1893
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11884
94.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12075
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9996
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23160
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1917
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1818
67.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4165
154.2 IPS |
|
|
Text Classification (SP)
|
100% |
1363
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
568
758.1 IPS |
|
|
Text Classification (Q)
|
97% |
1112
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1759
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2446
49.2 IPS |
