QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
5219
Single Precision Score
5205
Half Precision Score
9419
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sarcoma |
| Upload Date | August 10 2025 02:58 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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% |
3221
599.1 IPS |
|
|
Image Classification (HP)
|
100% |
3172
589.8 IPS |
|
|
Image Classification (Q)
|
100% |
6132
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4639
75.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4587
74.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7732
125.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7720
9.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
7717
9.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
18008
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2999
237.9 IPS |
|
|
Object Detection (HP)
|
100% |
2971
235.6 IPS |
|
|
Object Detection (Q)
|
88% |
6403
513.3 IPS |
|
|
Face Detection (SP)
|
100% |
8104
96.3 IPS |
|
|
Face Detection (HP)
|
100% |
8356
99.3 IPS |
|
|
Face Detection (Q)
|
100% |
17519
208.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8675
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8644
66.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
17245
134.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22075
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22431
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
51844
66.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4646
171.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4594
169.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9624
356.4 IPS |
|
|
Text Classification (SP)
|
100% |
2583
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2623
3.50 KIPS |
|
|
Text Classification (Q)
|
92% |
3025
4.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2330
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2245
38.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2205
38.0 IPS |
