ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506QM_FA506QM
Geekbench AI Score
3641
Single Precision Score
3610
Half Precision Score
6076
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | John1984 |
| Upload Date | August 31 2025 05:58 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H with Radeon Graphics |
| 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% |
2230
414.7 IPS |
|
|
Image Classification (HP)
|
100% |
2189
407.0 IPS |
|
|
Image Classification (Q)
|
100% |
4254
791.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2580
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2563
41.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4602
74.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4492
5.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
4402
5.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
10725
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
2104
166.9 IPS |
|
|
Object Detection (HP)
|
100% |
2072
164.4 IPS |
|
|
Object Detection (Q)
|
87% |
4422
354.7 IPS |
|
|
Face Detection (SP)
|
100% |
4676
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
4615
54.8 IPS |
|
|
Face Detection (Q)
|
97% |
12067
143.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5606
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5510
42.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
11230
88.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12629
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12761
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29297
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2538
93.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2580
95.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6114
226.5 IPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (Q)
|
91% |
799
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3850
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3760
64.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3809
65.6 IPS |
