ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506QR
Geekbench AI Score
3540
Single Precision Score
4883
Half Precision Score
2620
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 13 2026 03:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506QR |
| Motherboard | ASUSTeK COMPUTER INC. FA506QR |
| Power Plan | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
1917
356.5 IPS |
|
|
Image Classification (Q)
|
100% |
1252
232.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1570
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1926
31.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1328
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13364
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24304
28.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
10874
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
100% |
1972
156.4 IPS |
|
|
Object Detection (Q)
|
88% |
1362
109.2 IPS |
|
|
Face Detection (SP)
|
100% |
3429
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
4925
58.5 IPS |
|
|
Face Detection (Q)
|
97% |
2822
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8164
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11827
91.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
6218
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23280
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38580
49.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18126
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4810
177.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7343
271.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3232
119.7 IPS |
|
|
Text Classification (SP)
|
100% |
1122
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1197
1.60 KIPS |
|
|
Text Classification (Q)
|
97% |
746
999.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1927
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2209
38.0 IPS |
|
|
Machine Translation (Q)
|
70% |
808
15.2 IPS |
