ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507NU_FA507NU
Geekbench AI Score
14688
Single Precision Score
25342
Half Precision Score
11667
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Seele |
| Upload Date | May 07 2025 01:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507NU_FA507NU |
| Motherboard | ASUSTeK COMPUTER INC. FA507NU |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735H with Radeon Graphics |
| 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% |
5903
1.10 KIPS |
|
|
Image Classification (HP)
|
99% |
10884
2.03 KIPS |
|
|
Image Classification (Q)
|
99% |
5384
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10461
169.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14782
239.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9681
157.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
67862
79.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
213748
249.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
60770
71.2 IPS |
|
|
Object Detection (SP)
|
100% |
7423
588.8 IPS |
|
|
Object Detection (HP)
|
100% |
12580
997.8 IPS |
|
|
Object Detection (Q)
|
84% |
6696
540.1 IPS |
|
|
Face Detection (SP)
|
100% |
16443
195.4 IPS |
|
|
Face Detection (HP)
|
100% |
28061
333.4 IPS |
|
|
Face Detection (Q)
|
97% |
14909
177.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
33735
259.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
66023
508.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
27824
222.6 IPS |
|
|
Style Transfer (SP)
|
100% |
113137
145.4 IPS |
|
|
Style Transfer (HP)
|
100% |
280890
361.1 IPS |
|
|
Style Transfer (Q)
|
98% |
101966
131.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23698
875.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38587
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17403
644.4 IPS |
|
|
Text Classification (SP)
|
100% |
2772
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
3209
4.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1711
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3645
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3920
67.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1750
32.8 IPS |
