QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
4229
Single Precision Score
1444
Half Precision Score
6904
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sarcoma |
| Upload Date | August 10 2025 02:56 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900K |
| 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% |
3356
624.0 IPS |
|
|
Image Classification (HP)
|
100% |
571
106.3 IPS |
|
|
Image Classification (Q)
|
99% |
6090
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
844
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3598
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7372
8.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3452
4.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
26440
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
2931
232.5 IPS |
|
|
Object Detection (HP)
|
100% |
705
55.9 IPS |
|
|
Object Detection (Q)
|
86% |
6757
543.0 IPS |
|
|
Face Detection (SP)
|
100% |
7266
86.3 IPS |
|
|
Face Detection (HP)
|
100% |
1369
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
8054
96.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9381
72.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1856
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
15772
125.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18680
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11244
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21254
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3258
120.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2040
75.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4390
162.5 IPS |
|
|
Text Classification (SP)
|
100% |
1514
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1638
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2083
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3242
65.2 IPS |
