ASUSTeK COMPUTER INC. ASUS TUF Gaming A17 FA706ICB_FA706ICB
Geekbench AI Score
8834
Single Precision Score
15195
Half Precision Score
6428
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 11:09 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% |
3926
730.2 IPS |
|
|
Image Classification (HP)
|
99% |
6715
1.25 KIPS |
|
|
Image Classification (Q)
|
99% |
3203
597.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5434
88.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8188
132.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4549
74.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
37349
43.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
107779
125.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
31869
37.3 IPS |
|
|
Object Detection (SP)
|
100% |
4226
335.2 IPS |
|
|
Object Detection (HP)
|
100% |
7473
592.8 IPS |
|
|
Object Detection (Q)
|
84% |
3662
295.4 IPS |
|
|
Face Detection (SP)
|
100% |
9529
113.2 IPS |
|
|
Face Detection (HP)
|
100% |
14810
176.0 IPS |
|
|
Face Detection (Q)
|
97% |
7884
94.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22071
170.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
44984
346.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
16270
130.3 IPS |
|
|
Style Transfer (SP)
|
100% |
65254
83.9 IPS |
|
|
Style Transfer (HP)
|
100% |
167149
214.9 IPS |
|
|
Style Transfer (Q)
|
98% |
52842
68.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12539
463.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22136
817.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8192
303.3 IPS |
|
|
Text Classification (SP)
|
100% |
2153
2.87 KIPS |
|
|
Text Classification (HP)
|
99% |
2556
3.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1157
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2321
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2352
40.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1104
20.7 IPS |
