ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA617NSR_FA617NSR
Geekbench AI Score
1392
Single Precision Score
648
Half Precision Score
2225
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 06 2025 07:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7435HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA617NSR_FA617NSR |
| Motherboard | ASUSTeK COMPUTER INC. FA617NSR |
| 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% |
1058
196.8 IPS |
|
|
Image Classification (HP)
|
100% |
255
47.5 IPS |
|
|
Image Classification (Q)
|
96% |
2114
394.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (Q)
|
97% |
1199
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2225
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1900
2.22 IPS |
|
|
Pose Estimation (Q)
|
86% |
4703
5.56 IPS |
|
|
Object Detection (SP)
|
100% |
1053
83.5 IPS |
|
|
Object Detection (HP)
|
100% |
321
25.4 IPS |
|
|
Object Detection (Q)
|
58% |
1472
160.8 IPS |
|
|
Face Detection (SP)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
691
8.21 IPS |
|
|
Face Detection (Q)
|
96% |
3752
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2932
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
981
7.55 IPS |
|
|
Depth Estimation (Q)
|
78% |
4633
37.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5680
7.30 IPS |
|
|
Style Transfer (HP)
|
100% |
4681
6.02 IPS |
|
|
Style Transfer (Q)
|
87% |
8137
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
980
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
865
31.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1234
45.7 IPS |
|
|
Text Classification (SP)
|
100% |
707
943.2 IPS |
|
|
Text Classification (HP)
|
100% |
393
524.9 IPS |
|
|
Text Classification (Q)
|
97% |
705
944.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1021
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
354
6.10 IPS |
|
|
Machine Translation (Q)
|
68% |
1378
26.6 IPS |
