ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507NU_FA507NU
Geekbench AI Score
2051
Single Precision Score
950
Half Precision Score
3460
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | markerichannelly |
| Upload Date | August 12 2025 02:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7735HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507NU_FA507NU |
| Motherboard | ASUSTeK COMPUTER INC. FA507NU |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1539
286.3 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.2 IPS |
|
|
Image Classification (Q)
|
96% |
2779
519.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
690
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
368
5.97 IPS |
|
|
Image Segmentation (Q)
|
97% |
3468
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3069
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2715
3.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
6611
7.82 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
58% |
1950
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
3671
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
1035
12.3 IPS |
|
|
Face Detection (Q)
|
96% |
5359
63.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4135
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1350
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
6902
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8026
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6623
8.51 IPS |
|
|
Style Transfer (Q)
|
87% |
11972
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1355
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1195
44.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2495
92.4 IPS |
|
|
Text Classification (SP)
|
100% |
1136
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
582
776.8 IPS |
|
|
Text Classification (Q)
|
97% |
996
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1447
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
575
9.90 IPS |
|
|
Machine Translation (Q)
|
68% |
1803
34.8 IPS |
