ASUSTeK COMPUTER INC. ASUS TUF Gaming A15 FA506QR
Geekbench AI Score
2618
Single Precision Score
1230
Half Precision Score
3981
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 13 2026 03:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| 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% |
1685
313.4 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.8 IPS |
|
|
Image Classification (Q)
|
96% |
4433
827.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
736
11.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
3047
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3783
4.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2967
3.46 IPS |
|
|
Pose Estimation (Q)
|
86% |
9773
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1645
130.5 IPS |
|
|
Object Detection (HP)
|
100% |
567
45.0 IPS |
|
|
Object Detection (Q)
|
58% |
2367
258.7 IPS |
|
|
Face Detection (SP)
|
100% |
3900
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
1305
15.5 IPS |
|
|
Face Detection (Q)
|
96% |
6743
80.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6131
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1681
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9212
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9619
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7394
9.51 IPS |
|
|
Style Transfer (Q)
|
87% |
15165
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1613
59.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1331
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3862
143.1 IPS |
|
|
Text Classification (SP)
|
100% |
1346
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
795
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
403
540.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2167
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2187
42.3 IPS |
