ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507NU_FA507NU
Geekbench AI Score
1751
Single Precision Score
911
Half Precision Score
2484
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 04:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7535HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507NU_FA507NU |
| Motherboard | ASUSTeK COMPUTER INC. FA507NU |
| Power Plan | Dynamic Boost Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7535HS |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1291
240.2 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.5 IPS |
|
|
Image Classification (Q)
|
96% |
2496
466.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
473
7.67 IPS |
|
|
Image Segmentation (Q)
|
97% |
1288
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2616
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2387
2.78 IPS |
|
|
Pose Estimation (Q)
|
86% |
6312
7.46 IPS |
|
|
Object Detection (SP)
|
100% |
1212
96.1 IPS |
|
|
Object Detection (HP)
|
100% |
438
34.8 IPS |
|
|
Object Detection (Q)
|
58% |
1692
184.9 IPS |
|
|
Face Detection (SP)
|
100% |
2181
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
893
10.6 IPS |
|
|
Face Detection (Q)
|
96% |
4682
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3612
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1363
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6090
48.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7178
9.23 IPS |
|
|
Style Transfer (HP)
|
100% |
6206
7.98 IPS |
|
|
Style Transfer (Q)
|
87% |
8803
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1248
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1118
41.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1758
65.2 IPS |
|
|
Text Classification (SP)
|
100% |
1098
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
563
751.2 IPS |
|
|
Text Classification (Q)
|
97% |
373
499.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1182
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.26 IPS |
|
|
Machine Translation (Q)
|
68% |
1589
30.7 IPS |
