ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506IU_FA506IU
Geekbench AI Score
2274
Single Precision Score
1074
Half Precision Score
2699
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hooverbw |
| Upload Date | October 13 2025 12:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 4600H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506IU_FA506IU |
| Motherboard | ASUSTeK COMPUTER INC. FA506IU |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2089
388.4 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.2 IPS |
|
|
Image Classification (Q)
|
96% |
2078
388.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
614
9.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
454
7.36 IPS |
|
|
Image Segmentation (Q)
|
97% |
2753
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4235
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
3351
3.91 IPS |
|
|
Pose Estimation (Q)
|
86% |
4706
5.56 IPS |
|
|
Object Detection (SP)
|
100% |
1767
140.2 IPS |
|
|
Object Detection (HP)
|
100% |
536
42.5 IPS |
|
|
Object Detection (Q)
|
58% |
1538
168.0 IPS |
|
|
Face Detection (SP)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
1023
12.2 IPS |
|
|
Face Detection (Q)
|
96% |
4528
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5480
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1595
12.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
5154
41.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9605
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7719
9.92 IPS |
|
|
Style Transfer (Q)
|
87% |
8662
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1406
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1871
69.3 IPS |
|
|
Text Classification (SP)
|
100% |
1116
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
541
722.2 IPS |
|
|
Text Classification (Q)
|
97% |
836
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1352
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (Q)
|
68% |
1570
30.3 IPS |
