QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
9072
Single Precision Score
14017
Half Precision Score
6883
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | LessPlum3393 |
| Upload Date | September 13 2025 09:24 AM |
| Views | 8 |
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% |
3853
716.5 IPS |
|
|
Image Classification (HP)
|
100% |
5551
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
3180
593.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5088
82.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6399
103.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4605
74.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
53244
62.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
159463
186.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
46739
54.8 IPS |
|
|
Object Detection (SP)
|
100% |
4565
362.1 IPS |
|
|
Object Detection (HP)
|
100% |
6441
510.9 IPS |
|
|
Object Detection (Q)
|
84% |
3654
294.7 IPS |
|
|
Face Detection (SP)
|
100% |
10016
119.0 IPS |
|
|
Face Detection (HP)
|
100% |
14961
177.8 IPS |
|
|
Face Detection (Q)
|
97% |
9132
108.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27371
210.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47717
367.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
18629
149.1 IPS |
|
|
Style Transfer (SP)
|
100% |
92980
119.5 IPS |
|
|
Style Transfer (HP)
|
100% |
187805
241.4 IPS |
|
|
Style Transfer (Q)
|
98% |
78691
101.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14430
532.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21815
805.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9358
346.5 IPS |
|
|
Text Classification (SP)
|
100% |
1345
1.80 KIPS |
|
|
Text Classification (HP)
|
99% |
1714
2.29 KIPS |
|
|
Text Classification (Q)
|
97% |
839
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1601
27.6 IPS |
|
|
Machine Translation (Q)
|
70% |
908
17.0 IPS |
