ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506IV_FA506IV
Geekbench AI Score
2466
Single Precision Score
2467
Half Precision Score
3558
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Hasan5002 |
| Upload Date | February 06 2026 05:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 4800H with Radeon Graphics |
| 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% |
1440
267.7 IPS |
|
|
Image Classification (HP)
|
100% |
1355
252.0 IPS |
|
|
Image Classification (Q)
|
100% |
2274
422.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1222
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2811
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4318
5.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
4234
4.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
6347
7.44 IPS |
|
|
Object Detection (SP)
|
100% |
1430
113.4 IPS |
|
|
Object Detection (HP)
|
100% |
1491
118.3 IPS |
|
|
Object Detection (Q)
|
87% |
2517
201.9 IPS |
|
|
Face Detection (SP)
|
100% |
2139
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
2145
25.5 IPS |
|
|
Face Detection (Q)
|
97% |
7246
86.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4453
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4387
33.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
6791
53.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11728
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12179
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17878
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2242
82.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2325
85.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3583
132.7 IPS |
|
|
Text Classification (SP)
|
100% |
1830
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1845
2.46 KIPS |
|
|
Text Classification (Q)
|
91% |
628
844.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1622
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1626
28.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1612
27.8 IPS |
