ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507NU_FA507NU
Geekbench AI Score
1316
Single Precision Score
1254
Half Precision Score
1780
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | markerichannelly |
| Upload Date | August 12 2025 02:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7735HS with Radeon Graphics |
| 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% |
664
123.5 IPS |
|
|
Image Classification (HP)
|
100% |
1200
223.1 IPS |
|
|
Image Classification (Q)
|
100% |
1521
282.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
342
5.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
341
5.53 IPS |
|
|
Image Segmentation (Q)
|
99% |
551
8.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
2237
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1887
2.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
2897
3.40 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.1 IPS |
|
|
Object Detection (HP)
|
100% |
1045
82.9 IPS |
|
|
Object Detection (Q)
|
87% |
1466
117.6 IPS |
|
|
Face Detection (SP)
|
100% |
2036
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
2375
28.2 IPS |
|
|
Face Detection (Q)
|
97% |
3055
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2889
22.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1657
12.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
2904
22.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5307
6.82 IPS |
|
|
Style Transfer (HP)
|
100% |
5633
7.24 IPS |
|
|
Style Transfer (Q)
|
98% |
7748
9.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
742
27.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
715
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2053
76.0 IPS |
|
|
Text Classification (SP)
|
100% |
794
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
674
899.1 IPS |
|
|
Text Classification (Q)
|
91% |
450
605.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1278
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1119
19.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1420
24.5 IPS |
