ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506IU_FX506IU
Geekbench AI Score
8933
Single Precision Score
7309
Half Precision Score
6549
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Vaitek |
| Upload Date | October 28 2025 06:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 Ti |
| 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% |
3657
680.0 IPS |
|
|
Image Classification (HP)
|
100% |
3452
642.0 IPS |
|
|
Image Classification (Q)
|
99% |
2996
558.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6110
99.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5206
84.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5131
83.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
40891
47.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24854
29.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
35576
41.7 IPS |
|
|
Object Detection (SP)
|
100% |
4661
369.7 IPS |
|
|
Object Detection (HP)
|
100% |
4342
344.4 IPS |
|
|
Object Detection (Q)
|
83% |
3778
305.3 IPS |
|
|
Face Detection (SP)
|
100% |
10129
120.4 IPS |
|
|
Face Detection (HP)
|
100% |
8761
104.1 IPS |
|
|
Face Detection (Q)
|
97% |
8428
100.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
22320
172.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16877
130.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16630
132.7 IPS |
|
|
Style Transfer (SP)
|
100% |
69173
88.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48480
62.3 IPS |
|
|
Style Transfer (Q)
|
98% |
58391
75.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13187
486.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10936
403.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8653
320.4 IPS |
|
|
Text Classification (SP)
|
100% |
1619
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1244
1.66 KIPS |
|
|
Text Classification (Q)
|
97% |
905
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2277
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2301
39.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1096
20.6 IPS |
