ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506IU_TUF566IU
Geekbench AI Score
2153
Single Precision Score
1011
Half Precision Score
2780
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rhedd |
| Upload Date | March 17 2025 04:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 4800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506IU_TUF566IU |
| Motherboard | ASUSTeK COMPUTER INC. FA506IU |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 4800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1828
339.9 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.3 IPS |
|
|
Image Classification (Q)
|
96% |
2418
451.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
510
8.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.19 IPS |
|
|
Image Segmentation (Q)
|
97% |
1777
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3822
4.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
3205
3.74 IPS |
|
|
Pose Estimation (Q)
|
86% |
5335
6.31 IPS |
|
|
Object Detection (SP)
|
100% |
1661
131.8 IPS |
|
|
Object Detection (HP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (Q)
|
58% |
1687
184.3 IPS |
|
|
Face Detection (SP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
957
11.4 IPS |
|
|
Face Detection (Q)
|
96% |
4893
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5325
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1548
11.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
5840
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9828
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8051
10.3 IPS |
|
|
Style Transfer (Q)
|
87% |
9736
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1645
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1330
49.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1722
63.8 IPS |
|
|
Text Classification (SP)
|
100% |
1054
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
497
663.1 IPS |
|
|
Text Classification (Q)
|
97% |
928
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1341
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
526
9.07 IPS |
|
|
Machine Translation (Q)
|
68% |
1608
31.1 IPS |
