QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
2471
Single Precision Score
1362
Half Precision Score
5437
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | December 27 2025 05:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.88 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1706
317.3 IPS |
|
|
Image Classification (HP)
|
100% |
558
103.9 IPS |
|
|
Image Classification (Q)
|
99% |
4181
779.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1286
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
925
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5235
85.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3546
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
3003
3.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
12823
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1654
131.2 IPS |
|
|
Object Detection (HP)
|
100% |
683
54.2 IPS |
|
|
Object Detection (Q)
|
86% |
4227
339.7 IPS |
|
|
Face Detection (SP)
|
100% |
4402
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
1500
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
6894
82.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4216
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1822
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
8353
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8365
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7113
9.14 IPS |
|
|
Style Transfer (Q)
|
98% |
13714
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1728
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1505
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4845
179.4 IPS |
|
|
Text Classification (SP)
|
100% |
1320
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
810
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1598
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1863
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
876
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3116
62.6 IPS |
