ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506QM_FA506QM
Geekbench AI Score
3249
Single Precision Score
1418
Half Precision Score
4159
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | John1984 |
| Upload Date | August 31 2025 06:01 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506QM_FA506QM |
| Motherboard | ASUSTeK COMPUTER INC. FA506QM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2756
512.6 IPS |
|
|
Image Classification (HP)
|
100% |
545
101.3 IPS |
|
|
Image Classification (Q)
|
96% |
4674
872.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1462
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
744
12.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
3433
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5568
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3926
4.58 IPS |
|
|
Pose Estimation (Q)
|
86% |
10757
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
2230
176.9 IPS |
|
|
Object Detection (HP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (Q)
|
58% |
2530
276.4 IPS |
|
|
Face Detection (SP)
|
100% |
4244
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
1401
16.6 IPS |
|
|
Face Detection (Q)
|
96% |
6995
83.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6795
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2070
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
9946
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13193
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10214
13.1 IPS |
|
|
Style Transfer (Q)
|
87% |
15231
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2116
78.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1771
65.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4011
148.6 IPS |
|
|
Text Classification (SP)
|
100% |
1647
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
803
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
391
523.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1977
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2136
41.3 IPS |
