QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
1085
Single Precision Score
513
Half Precision Score
1717
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | LessPlum3393 |
| Upload Date | September 13 2025 09:13 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 7502 |
| 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% |
603
112.2 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (Q)
|
96% |
1748
326.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
493
7.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
258
4.18 IPS |
|
|
Image Segmentation (Q)
|
97% |
1569
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4704
5.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2152
2.51 IPS |
|
|
Pose Estimation (Q)
|
86% |
5713
6.75 IPS |
|
|
Object Detection (SP)
|
100% |
616
48.9 IPS |
|
|
Object Detection (HP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (Q)
|
58% |
1117
122.0 IPS |
|
|
Face Detection (SP)
|
100% |
1291
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
517
6.15 IPS |
|
|
Face Detection (Q)
|
96% |
2845
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2443
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
830
6.39 IPS |
|
|
Depth Estimation (Q)
|
78% |
3438
27.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7543
9.70 IPS |
|
|
Style Transfer (HP)
|
100% |
6860
8.82 IPS |
|
|
Style Transfer (Q)
|
87% |
7154
9.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
710
26.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
568
21.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1040
38.6 IPS |
|
|
Text Classification (SP)
|
100% |
309
412.5 IPS |
|
|
Text Classification (HP)
|
100% |
158
210.9 IPS |
|
|
Text Classification (Q)
|
97% |
198
265.8 IPS |
|
|
Machine Translation (SP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (HP)
|
100% |
224
3.86 IPS |
|
|
Machine Translation (Q)
|
68% |
884
17.1 IPS |
