ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507NU_FA507NU
Geekbench AI Score
4703
Single Precision Score
4686
Half Precision Score
7688
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | egorgaev1996 |
| Upload Date | October 28 2025 09:54 PM |
| Views | 2 |
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 | Performance |
| 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% |
3349
622.8 IPS |
|
|
Image Classification (HP)
|
100% |
3350
623.1 IPS |
|
|
Image Classification (Q)
|
100% |
5518
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4971
80.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6799
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
6810
7.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
14173
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
3111
246.8 IPS |
|
|
Object Detection (HP)
|
100% |
2999
237.9 IPS |
|
|
Object Detection (Q)
|
87% |
5555
445.5 IPS |
|
|
Face Detection (SP)
|
100% |
5722
68.0 IPS |
|
|
Face Detection (HP)
|
100% |
5606
66.6 IPS |
|
|
Face Detection (Q)
|
97% |
14692
175.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8494
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8448
65.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
14278
112.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19267
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18538
23.8 IPS |
|
|
Style Transfer (Q)
|
98% |
39863
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3758
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3913
144.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8263
306.1 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (Q)
|
91% |
1156
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4362
75.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4498
77.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4187
72.1 IPS |
