ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506IU_FX506IU
Geekbench AI Score
3242
Single Precision Score
3206
Half Precision Score
3773
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Vaitek |
| Upload Date | October 28 2025 06:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 4800H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506IU_FX506IU |
| Motherboard | ASUSTeK COMPUTER INC. FA506IU |
| 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% |
2025
376.5 IPS |
|
|
Image Classification (HP)
|
100% |
1995
371.1 IPS |
|
|
Image Classification (Q)
|
100% |
2659
494.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1704
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1665
27.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3206
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4887
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4826
5.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
5729
6.72 IPS |
|
|
Object Detection (SP)
|
100% |
1973
156.5 IPS |
|
|
Object Detection (HP)
|
100% |
1973
156.5 IPS |
|
|
Object Detection (Q)
|
87% |
2536
203.4 IPS |
|
|
Face Detection (SP)
|
100% |
3819
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
3785
45.0 IPS |
|
|
Face Detection (Q)
|
97% |
7727
92.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5488
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5628
43.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
6947
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13641
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13367
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
16788
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2582
95.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2542
93.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3409
126.3 IPS |
|
|
Text Classification (SP)
|
100% |
2111
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2137
2.85 KIPS |
|
|
Text Classification (Q)
|
91% |
645
866.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2349
40.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2385
41.1 IPS |
