ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506IU_TUF566IU
Geekbench AI Score
1876
Single Precision Score
912
Half Precision Score
2508
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rhedd |
| Upload Date | March 17 2025 04:17 AM |
| Views | 9 |
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% |
1571
292.2 IPS |
|
|
Image Classification (HP)
|
100% |
373
69.3 IPS |
|
|
Image Classification (Q)
|
96% |
2238
418.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
515
8.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
463
7.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
1636
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3218
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2588
3.02 IPS |
|
|
Pose Estimation (Q)
|
86% |
4536
5.36 IPS |
|
|
Object Detection (SP)
|
100% |
1405
111.4 IPS |
|
|
Object Detection (HP)
|
100% |
471
37.4 IPS |
|
|
Object Detection (Q)
|
58% |
1567
171.2 IPS |
|
|
Face Detection (SP)
|
100% |
2612
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
877
10.4 IPS |
|
|
Face Detection (Q)
|
96% |
4531
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4364
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1363
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
4639
37.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7709
9.91 IPS |
|
|
Style Transfer (HP)
|
100% |
5966
7.67 IPS |
|
|
Style Transfer (Q)
|
87% |
8560
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1279
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1129
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1639
60.7 IPS |
|
|
Text Classification (SP)
|
100% |
1037
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
475
633.4 IPS |
|
|
Text Classification (Q)
|
97% |
863
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (Q)
|
68% |
1490
28.8 IPS |
