QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
35076
Single Precision Score
48635
Half Precision Score
27261
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | January 24 2026 04:31 PM |
| Views | 8 |
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% |
10705
1.99 KIPS |
|
|
Image Classification (HP)
|
100% |
12926
2.40 KIPS |
|
|
Image Classification (Q)
|
100% |
9744
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30180
489.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
36369
589.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
27174
441.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
358177
417.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
806584
941.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
289848
339.5 IPS |
|
|
Object Detection (SP)
|
100% |
16452
1.30 KIPS |
|
|
Object Detection (HP)
|
100% |
19744
1.57 KIPS |
|
|
Object Detection (Q)
|
85% |
14122
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
58540
695.6 IPS |
|
|
Face Detection (HP)
|
100% |
76561
909.7 IPS |
|
|
Face Detection (Q)
|
97% |
47362
564.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
89428
689.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
142685
1.10 KIPS |
|
|
Depth Estimation (Q)
|
77% |
65871
527.6 IPS |
|
|
Style Transfer (SP)
|
100% |
497257
639.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1241678
1.60 KIPS |
|
|
Style Transfer (Q)
|
98% |
428377
552.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48004
1.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56316
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38053
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2174
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2389
3.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1526
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5452
93.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5420
93.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2696
50.6 IPS |
