ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506IV_FA506IV
Geekbench AI Score
1575
Single Precision Score
807
Half Precision Score
2376
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Hasan5002 |
| Upload Date | February 06 2026 05:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 4800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506IV_FA506IV |
| Motherboard | ASUSTeK COMPUTER INC. FA506IV |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1158
215.4 IPS |
|
|
Image Classification (HP)
|
100% |
251
46.6 IPS |
|
|
Image Classification (Q)
|
96% |
1528
285.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
413
6.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
355
5.75 IPS |
|
|
Image Segmentation (Q)
|
97% |
2021
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2400
2.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2693
3.14 IPS |
|
|
Pose Estimation (Q)
|
86% |
4839
5.72 IPS |
|
|
Object Detection (SP)
|
100% |
1283
101.8 IPS |
|
|
Object Detection (HP)
|
100% |
394
31.2 IPS |
|
|
Object Detection (Q)
|
58% |
1544
168.7 IPS |
|
|
Face Detection (SP)
|
100% |
1740
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
739
8.78 IPS |
|
|
Face Detection (Q)
|
96% |
4086
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3962
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1327
10.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
4770
38.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7635
9.82 IPS |
|
|
Style Transfer (HP)
|
100% |
6565
8.44 IPS |
|
|
Style Transfer (Q)
|
87% |
6800
8.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1216
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
931
34.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2030
75.2 IPS |
|
|
Text Classification (SP)
|
100% |
1032
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
477
636.4 IPS |
|
|
Text Classification (Q)
|
97% |
843
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
966
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.52 IPS |
|
|
Machine Translation (Q)
|
68% |
1099
21.2 IPS |
