QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
4572
Single Precision Score
1849
Half Precision Score
7847
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mikeclueby4 |
| Upload Date | June 27 2025 04:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 15.62 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3330
619.3 IPS |
|
|
Image Classification (HP)
|
100% |
670
124.6 IPS |
|
|
Image Classification (Q)
|
99% |
7186
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
950
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3686
59.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7023
8.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
5848
6.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
25045
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
3333
264.4 IPS |
|
|
Object Detection (HP)
|
100% |
864
68.5 IPS |
|
|
Object Detection (Q)
|
86% |
7676
616.9 IPS |
|
|
Face Detection (SP)
|
100% |
9505
112.9 IPS |
|
|
Face Detection (HP)
|
100% |
1981
23.5 IPS |
|
|
Face Detection (Q)
|
97% |
10319
123.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8658
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2693
20.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
18578
148.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18526
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14445
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30990
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3057
112.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2598
95.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4117
152.4 IPS |
|
|
Text Classification (SP)
|
100% |
1540
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
804
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1602
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3098
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4438
89.2 IPS |
