ASUS System Product Name
Geekbench AI Score
4094
Single Precision Score
1884
Half Precision Score
5896
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | June 09 2025 09:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-E GAMING WIFI |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2404
447.1 IPS |
|
|
Image Classification (HP)
|
100% |
682
126.9 IPS |
|
|
Image Classification (Q)
|
99% |
4433
826.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2038
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3714
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6948
8.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
4952
5.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
23071
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
2691
213.5 IPS |
|
|
Object Detection (HP)
|
100% |
880
69.8 IPS |
|
|
Object Detection (Q)
|
88% |
2590
207.6 IPS |
|
|
Face Detection (SP)
|
100% |
5005
59.5 IPS |
|
|
Face Detection (HP)
|
100% |
2145
25.5 IPS |
|
|
Face Detection (Q)
|
97% |
5285
63.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8024
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2642
20.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
9864
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16557
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12572
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25665
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3395
125.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2541
93.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5473
202.6 IPS |
|
|
Text Classification (SP)
|
100% |
2145
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
925
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1988
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2985
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
876
15.1 IPS |
|
|
Machine Translation (Q)
|
60% |
3546
79.1 IPS |
