ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506IU_FX506IU
Geekbench AI Score
2597
Single Precision Score
3322
Half Precision Score
1992
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Vaitek |
| Upload Date | October 28 2025 06:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 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% |
1068
198.6 IPS |
|
|
Image Classification (HP)
|
100% |
1264
235.1 IPS |
|
|
Image Classification (Q)
|
100% |
965
179.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1209
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1050
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9394
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17338
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
7962
9.33 IPS |
|
|
Object Detection (SP)
|
100% |
1240
98.4 IPS |
|
|
Object Detection (HP)
|
100% |
1341
106.4 IPS |
|
|
Object Detection (Q)
|
88% |
1099
88.1 IPS |
|
|
Face Detection (SP)
|
100% |
2899
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
3673
43.6 IPS |
|
|
Face Detection (Q)
|
97% |
2434
29.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5710
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7970
61.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
4517
36.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16403
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26965
34.7 IPS |
|
|
Style Transfer (Q)
|
98% |
13502
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3525
130.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5075
187.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2456
91.0 IPS |
|
|
Text Classification (SP)
|
100% |
696
929.1 IPS |
|
|
Text Classification (HP)
|
100% |
720
961.2 IPS |
|
|
Text Classification (Q)
|
97% |
465
622.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1387
23.9 IPS |
|
|
Machine Translation (Q)
|
70% |
656
12.3 IPS |
