QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
35851
Single Precision Score
50183
Half Precision Score
27827
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | January 23 2026 09:12 PM |
| Views | 4 |
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% |
11155
2.07 KIPS |
|
|
Image Classification (HP)
|
100% |
13666
2.54 KIPS |
|
|
Image Classification (Q)
|
100% |
10136
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29769
482.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
36379
589.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
27431
446.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
359345
419.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
829024
967.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
289861
339.5 IPS |
|
|
Object Detection (SP)
|
100% |
17176
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
21064
1.67 KIPS |
|
|
Object Detection (Q)
|
85% |
14472
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
58444
694.4 IPS |
|
|
Face Detection (HP)
|
100% |
77779
924.2 IPS |
|
|
Face Detection (Q)
|
97% |
48267
575.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
89046
686.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
134573
1.04 KIPS |
|
|
Depth Estimation (Q)
|
77% |
67417
540.0 IPS |
|
|
Style Transfer (SP)
|
100% |
503237
646.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1261512
1.62 KIPS |
|
|
Style Transfer (Q)
|
98% |
431578
556.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51012
1.88 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64341
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39127
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2518
3.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1603
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5575
96.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5454
93.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2710
50.8 IPS |
