QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
22316
Single Precision Score
40467
Half Precision Score
17307
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sarcoma |
| Upload Date | August 10 2025 02:52 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| 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 i9-12900K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8479
1.58 KIPS |
|
|
Image Classification (HP)
|
100% |
14502
2.70 KIPS |
|
|
Image Classification (Q)
|
100% |
7988
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17250
279.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
25871
419.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15700
255.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
122017
142.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
389652
454.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
113358
132.8 IPS |
|
|
Object Detection (SP)
|
100% |
11100
880.4 IPS |
|
|
Object Detection (HP)
|
100% |
18725
1.49 KIPS |
|
|
Object Detection (Q)
|
83% |
9527
769.7 IPS |
|
|
Face Detection (SP)
|
100% |
29466
350.1 IPS |
|
|
Face Detection (HP)
|
100% |
46975
558.2 IPS |
|
|
Face Detection (Q)
|
97% |
25674
306.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
52893
407.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110415
850.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
43564
347.7 IPS |
|
|
Style Transfer (SP)
|
100% |
172547
221.8 IPS |
|
|
Style Transfer (HP)
|
100% |
578437
743.6 IPS |
|
|
Style Transfer (Q)
|
98% |
148025
190.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31934
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59794
2.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25112
929.9 IPS |
|
|
Text Classification (SP)
|
100% |
3490
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4171
5.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2076
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5161
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5750
99.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2063
38.7 IPS |
