ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608UH_FA608UH
Geekbench AI Score
3799
Single Precision Score
1711
Half Precision Score
8485
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 01:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 260 w/ Radeon 780M Graphics |
| 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% |
3896
724.5 IPS |
|
|
Image Classification (HP)
|
100% |
693
128.9 IPS |
|
|
Image Classification (Q)
|
99% |
7452
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1264
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
811
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10451
169.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7083
8.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
5909
6.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
25578
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
2198
174.3 IPS |
|
|
Object Detection (HP)
|
100% |
681
54.0 IPS |
|
|
Object Detection (Q)
|
86% |
8083
649.6 IPS |
|
|
Face Detection (SP)
|
100% |
4008
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
1678
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
10111
120.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9530
73.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2683
20.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11380
90.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14809
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10452
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24057
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2755
101.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2420
89.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6882
254.8 IPS |
|
|
Text Classification (SP)
|
100% |
2194
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
915
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1913
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2389
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
914
15.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3297
66.3 IPS |
