QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
34718
Single Precision Score
48382
Half Precision Score
27311
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | January 24 2026 03:58 PM |
| Views | 9 |
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% |
9742
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
12493
2.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9728
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30268
490.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
35797
580.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
27419
445.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
355923
415.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
808372
943.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
290400
340.2 IPS |
|
|
Object Detection (SP)
|
100% |
16503
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
19984
1.59 KIPS |
|
|
Object Detection (Q)
|
85% |
14075
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
58018
689.4 IPS |
|
|
Face Detection (HP)
|
100% |
75116
892.5 IPS |
|
|
Face Detection (Q)
|
97% |
46755
557.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
88830
684.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
144288
1.11 KIPS |
|
|
Depth Estimation (Q)
|
77% |
65995
528.6 IPS |
|
|
Style Transfer (SP)
|
100% |
511473
657.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1210041
1.56 KIPS |
|
|
Style Transfer (Q)
|
98% |
426644
550.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47736
1.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58983
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38333
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
2144
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1549
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5446
93.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5438
93.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2710
50.8 IPS |
