ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506NCR_FA566NCR
Geekbench AI Score
9950
Single Precision Score
17752
Half Precision Score
7083
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 07:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506NCR_FA566NCR |
| Motherboard | ASUSTeK COMPUTER INC. FA506NCR |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7435HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4363
811.4 IPS |
|
|
Image Classification (HP)
|
99% |
7828
1.46 KIPS |
|
|
Image Classification (Q)
|
99% |
3540
660.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6417
104.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10361
168.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5262
85.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
40396
47.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
120057
140.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34390
40.3 IPS |
|
|
Object Detection (SP)
|
100% |
5012
397.5 IPS |
|
|
Object Detection (HP)
|
100% |
9844
780.8 IPS |
|
|
Object Detection (Q)
|
84% |
4119
332.2 IPS |
|
|
Face Detection (SP)
|
100% |
10872
129.2 IPS |
|
|
Face Detection (HP)
|
100% |
18172
215.9 IPS |
|
|
Face Detection (Q)
|
97% |
8859
105.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24226
186.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
50391
388.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
17880
143.2 IPS |
|
|
Style Transfer (SP)
|
100% |
70730
90.9 IPS |
|
|
Style Transfer (HP)
|
100% |
188712
242.6 IPS |
|
|
Style Transfer (Q)
|
98% |
57177
73.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13856
511.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23168
855.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8970
332.1 IPS |
|
|
Text Classification (SP)
|
100% |
2139
2.86 KIPS |
|
|
Text Classification (HP)
|
99% |
2606
3.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1158
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3041
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3109
53.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1282
24.0 IPS |
