ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608UH_FA608UH
Geekbench AI Score
15265
Single Precision Score
29862
Half Precision Score
12118
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 01:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608UH_FA608UH |
| Motherboard | ASUSTeK COMPUTER INC. FA608UH |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 260 w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6524
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
12535
2.33 KIPS |
|
|
Image Classification (Q)
|
99% |
6297
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10811
175.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16708
270.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9410
153.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
65709
76.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
225581
263.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
64915
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
8261
655.3 IPS |
|
|
Object Detection (HP)
|
100% |
15472
1.23 KIPS |
|
|
Object Detection (Q)
|
87% |
7174
575.8 IPS |
|
|
Face Detection (SP)
|
100% |
20846
247.7 IPS |
|
|
Face Detection (HP)
|
100% |
34729
412.7 IPS |
|
|
Face Detection (Q)
|
97% |
17860
213.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
33642
259.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
83175
640.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
28303
226.3 IPS |
|
|
Style Transfer (SP)
|
100% |
104137
133.9 IPS |
|
|
Style Transfer (HP)
|
100% |
376663
484.2 IPS |
|
|
Style Transfer (Q)
|
98% |
91689
118.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21330
787.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44924
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16666
617.1 IPS |
|
|
Text Classification (SP)
|
100% |
2664
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3366
4.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1869
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4326
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4690
80.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1715
32.2 IPS |
