QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
44345
Single Precision Score
65437
Half Precision Score
32958
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | March 27 2026 11:48 AM |
| Views | 9 |
| Notes | proxmox vm + 5090 |
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% |
16232
3.02 KIPS |
|
|
Image Classification (HP)
|
100% |
21509
4.00 KIPS |
|
|
Image Classification (Q)
|
100% |
13912
2.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
32236
522.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
42228
684.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
30622
497.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
377452
440.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
905176
1.06 KIPS |
|
|
Pose Estimation (Q)
|
96% |
310420
363.6 IPS |
|
|
Object Detection (SP)
|
100% |
21488
1.70 KIPS |
|
|
Object Detection (HP)
|
100% |
27581
2.19 KIPS |
|
|
Object Detection (Q)
|
85% |
17351
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
66890
794.8 IPS |
|
|
Face Detection (HP)
|
100% |
87920
1.04 KIPS |
|
|
Face Detection (Q)
|
97% |
58512
697.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
116205
895.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
173344
1.34 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76507
612.8 IPS |
|
|
Style Transfer (SP)
|
100% |
550701
707.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1605670
2.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
467914
603.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65754
2.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89652
3.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48732
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
3985
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4711
6.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2274
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
6178
106.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6143
106.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2840
53.3 IPS |
