QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
29750
Single Precision Score
41817
Half Precision Score
26121
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | December 27 2025 05:40 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| 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% |
5602
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
6599
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
8838
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24597
398.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
27137
439.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
24955
405.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
323923
378.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
808479
943.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
261966
306.9 IPS |
|
|
Object Detection (SP)
|
100% |
10697
848.5 IPS |
|
|
Object Detection (HP)
|
100% |
18929
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
13116
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
55639
661.1 IPS |
|
|
Face Detection (HP)
|
100% |
71363
847.9 IPS |
|
|
Face Detection (Q)
|
97% |
48302
576.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
87012
670.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
134917
1.04 KIPS |
|
|
Depth Estimation (Q)
|
77% |
66853
535.5 IPS |
|
|
Style Transfer (SP)
|
100% |
495613
637.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1205185
1.55 KIPS |
|
|
Style Transfer (Q)
|
98% |
426774
550.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43238
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51974
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39298
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
2169
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1923
2.57 KIPS |
|
|
Text Classification (Q)
|
97% |
1372
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5055
87.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5145
88.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2627
49.3 IPS |
