ASUSTeK COMPUTER INC. ASUS TUF Gaming A17 FA706ICB_FA706ICB
Geekbench AI Score
8836
Single Precision Score
15304
Half Precision Score
6393
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 11:15 AM |
| 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 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% |
3898
725.0 IPS |
|
|
Image Classification (HP)
|
99% |
6690
1.25 KIPS |
|
|
Image Classification (Q)
|
99% |
3197
596.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5433
88.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8170
132.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4498
73.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37402
43.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
108179
126.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31871
37.3 IPS |
|
|
Object Detection (SP)
|
100% |
4376
347.1 IPS |
|
|
Object Detection (HP)
|
100% |
8059
639.3 IPS |
|
|
Object Detection (Q)
|
84% |
3654
294.7 IPS |
|
|
Face Detection (SP)
|
100% |
9404
111.7 IPS |
|
|
Face Detection (HP)
|
100% |
14500
172.3 IPS |
|
|
Face Detection (Q)
|
97% |
7899
94.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21706
167.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
43205
332.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
16242
130.1 IPS |
|
|
Style Transfer (SP)
|
100% |
64453
82.9 IPS |
|
|
Style Transfer (HP)
|
100% |
166837
214.5 IPS |
|
|
Style Transfer (Q)
|
98% |
53224
68.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12497
461.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22703
838.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8126
300.9 IPS |
|
|
Text Classification (SP)
|
100% |
2179
2.91 KIPS |
|
|
Text Classification (HP)
|
99% |
2655
3.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1110
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2337
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2349
40.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1106
20.7 IPS |
