QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
3969
Single Precision Score
8926
Half Precision Score
13987
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 12 2026 12:23 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285H |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 3.69 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2643
491.6 IPS |
|
|
Image Classification (HP)
|
100% |
6781
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
8951
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3140
50.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2894
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3922
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4960
5.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
32766
38.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
72967
85.5 IPS |
|
|
Object Detection (SP)
|
100% |
1649
130.8 IPS |
|
|
Object Detection (HP)
|
100% |
4371
346.7 IPS |
|
|
Object Detection (Q)
|
87% |
8007
642.6 IPS |
|
|
Face Detection (SP)
|
100% |
6215
73.8 IPS |
|
|
Face Detection (HP)
|
100% |
15154
180.1 IPS |
|
|
Face Detection (Q)
|
100% |
27178
322.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5339
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17320
133.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
32351
251.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13312
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
50486
64.9 IPS |
|
|
Style Transfer (Q)
|
98% |
92078
118.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3156
116.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13264
489.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24271
898.8 IPS |
|
|
Text Classification (SP)
|
100% |
2636
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1707
2.28 KIPS |
|
|
Text Classification (Q)
|
92% |
1722
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3896
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3810
65.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4132
71.2 IPS |
