QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
1713
Single Precision Score
1600
Half Precision Score
2402
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | LessPlum3393 |
| Upload Date | September 13 2025 09:18 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD EPYC 7502 32-Core Processor |
| 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% |
783
145.6 IPS |
|
|
Image Classification (HP)
|
100% |
690
128.3 IPS |
|
|
Image Classification (Q)
|
100% |
1504
279.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
830
13.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2434
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4541
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4362
5.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
6892
8.08 IPS |
|
|
Object Detection (SP)
|
100% |
758
60.1 IPS |
|
|
Object Detection (HP)
|
100% |
654
51.9 IPS |
|
|
Object Detection (Q)
|
87% |
1819
145.9 IPS |
|
|
Face Detection (SP)
|
100% |
1702
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
1576
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
5461
65.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2545
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2663
20.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
4624
36.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11244
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12256
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
17317
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1837
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1710
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2268
84.0 IPS |
|
|
Text Classification (SP)
|
100% |
1040
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
888
1.19 KIPS |
|
|
Text Classification (Q)
|
91% |
173
233.0 IPS |
|
|
Machine Translation (SP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
862
14.9 IPS |
|
|
Machine Translation (Q)
|
100% |
812
14.0 IPS |
