ASUS TUF Gaming A15 ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507NVR_FA507NVR
Geekbench AI Score
2672
Single Precision Score
1310
Half Precision Score
3530
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 21 2025 10:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7435HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA507NVR_FA507NVR |
| Motherboard | ASUSTeK COMPUTER INC. FA507NVR |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7435HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2215
411.9 IPS |
|
|
Image Classification (HP)
|
100% |
508
94.5 IPS |
|
|
Image Classification (Q)
|
96% |
4607
860.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
589
9.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
512
8.30 IPS |
|
|
Image Segmentation (Q)
|
97% |
1913
31.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5226
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
4433
5.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
11420
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
2075
164.6 IPS |
|
|
Object Detection (HP)
|
100% |
615
48.8 IPS |
|
|
Object Detection (Q)
|
58% |
2328
254.3 IPS |
|
|
Face Detection (SP)
|
100% |
3302
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
1219
14.5 IPS |
|
|
Face Detection (Q)
|
96% |
6296
75.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6471
49.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2046
15.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
9194
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12256
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10704
13.8 IPS |
|
|
Style Transfer (Q)
|
87% |
12859
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2107
77.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1799
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2461
91.2 IPS |
|
|
Text Classification (SP)
|
100% |
1636
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
407
545.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1453
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.92 IPS |
|
|
Machine Translation (Q)
|
68% |
1721
33.2 IPS |
