ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507NU_FA507NU
Geekbench AI Score
2117
Single Precision Score
955
Half Precision Score
2787
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | HSalthagafi |
| Upload Date | April 10 2025 02:05 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7735HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507NU_FA507NU |
| Motherboard | ASUSTeK COMPUTER INC. FA507NU |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1800
334.8 IPS |
|
|
Image Classification (HP)
|
100% |
381
70.9 IPS |
|
|
Image Classification (Q)
|
96% |
3331
622.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
452
7.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
304
4.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
1327
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3733
4.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
3105
3.62 IPS |
|
|
Pose Estimation (Q)
|
86% |
8245
9.75 IPS |
|
|
Object Detection (SP)
|
100% |
1777
140.9 IPS |
|
|
Object Detection (HP)
|
100% |
474
37.6 IPS |
|
|
Object Detection (Q)
|
58% |
1853
202.5 IPS |
|
|
Face Detection (SP)
|
100% |
3468
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
1036
12.3 IPS |
|
|
Face Detection (Q)
|
96% |
5323
63.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4957
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1472
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7398
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8522
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7488
9.63 IPS |
|
|
Style Transfer (Q)
|
87% |
12582
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1451
53.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1246
46.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1824
67.6 IPS |
|
|
Text Classification (SP)
|
100% |
1023
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
522
696.6 IPS |
|
|
Text Classification (Q)
|
97% |
279
374.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1542
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.63 IPS |
|
|
Machine Translation (Q)
|
68% |
1664
32.1 IPS |
