ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506IU_TUF566IU
Geekbench AI Score
3197
Single Precision Score
3295
Half Precision Score
4035
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rhedd |
| Upload Date | March 17 2025 04:03 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 4800H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506IU_TUF566IU |
| Motherboard | ASUSTeK COMPUTER INC. FA506IU |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 4800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
2072
385.3 IPS |
|
|
Image Classification (Q)
|
100% |
2709
503.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3259
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5132
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
5101
5.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
6631
7.78 IPS |
|
|
Object Detection (SP)
|
100% |
2163
171.6 IPS |
|
|
Object Detection (HP)
|
100% |
2130
169.0 IPS |
|
|
Object Detection (Q)
|
87% |
2748
220.4 IPS |
|
|
Face Detection (SP)
|
100% |
3541
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
3584
42.6 IPS |
|
|
Face Detection (Q)
|
97% |
8537
101.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5984
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6050
46.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
7553
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13950
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13759
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17754
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1793
66.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2268
83.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3525
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
2075
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (Q)
|
91% |
696
935.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2678
46.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2679
46.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2536
43.7 IPS |
