ASUSTeK COMPUTER INC. ASUS TUF Gaming A17 FA706ICB_FA706ICB
Geekbench AI Score
9078
Single Precision Score
15862
Half Precision Score
6569
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 11:02 AM |
| Views | 5 |
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 A17 FA706ICB_FA706ICB |
| Motherboard | ASUSTeK COMPUTER INC. FA706ICB |
| Power Plan | Turbo |
| 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% |
3958
736.1 IPS |
|
|
Image Classification (HP)
|
99% |
7017
1.31 KIPS |
|
|
Image Classification (Q)
|
99% |
3267
609.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5553
90.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8406
136.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4665
75.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
37910
44.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
112297
131.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
32552
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
4523
358.8 IPS |
|
|
Object Detection (HP)
|
100% |
8192
649.8 IPS |
|
|
Object Detection (Q)
|
84% |
3743
301.9 IPS |
|
|
Face Detection (SP)
|
100% |
9747
115.8 IPS |
|
|
Face Detection (HP)
|
100% |
15636
185.8 IPS |
|
|
Face Detection (Q)
|
97% |
8149
97.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22377
172.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
46900
361.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
16708
133.8 IPS |
|
|
Style Transfer (SP)
|
100% |
66471
85.4 IPS |
|
|
Style Transfer (HP)
|
100% |
177173
227.8 IPS |
|
|
Style Transfer (Q)
|
98% |
54437
70.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13046
481.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21981
811.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8311
307.7 IPS |
|
|
Text Classification (SP)
|
100% |
2217
2.96 KIPS |
|
|
Text Classification (HP)
|
99% |
2680
3.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1150
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2406
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2428
41.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1138
21.3 IPS |
