QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
9270
Single Precision Score
13918
Half Precision Score
6865
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | LessPlum3393 |
| Upload Date | September 13 2025 09:20 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7502 |
| Topology | 1 Processor, 12 Cores |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3863
718.5 IPS |
|
|
Image Classification (HP)
|
100% |
5461
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
3150
587.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5329
86.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6105
99.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4514
73.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
52561
61.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
160133
186.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
45837
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
4465
354.2 IPS |
|
|
Object Detection (HP)
|
100% |
6384
506.4 IPS |
|
|
Object Detection (Q)
|
84% |
3695
298.0 IPS |
|
|
Face Detection (SP)
|
100% |
10823
128.6 IPS |
|
|
Face Detection (HP)
|
100% |
14998
178.2 IPS |
|
|
Face Detection (Q)
|
97% |
9433
112.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
28809
222.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47605
366.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
19018
152.2 IPS |
|
|
Style Transfer (SP)
|
100% |
96773
124.4 IPS |
|
|
Style Transfer (HP)
|
100% |
192265
247.2 IPS |
|
|
Style Transfer (Q)
|
98% |
77725
100.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15297
564.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20905
771.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9549
353.6 IPS |
|
|
Text Classification (SP)
|
100% |
1337
1.78 KIPS |
|
|
Text Classification (HP)
|
99% |
1739
2.32 KIPS |
|
|
Text Classification (Q)
|
97% |
828
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1573
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (Q)
|
70% |
876
16.4 IPS |
