ASUSTeK COMPUTER INC. ASUS TUF Gaming A16 FA608UH_FA608UH
Geekbench AI Score
5340
Single Precision Score
5143
Half Precision Score
16689
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 16 2025 11:44 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 260 w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (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% |
3998
743.6 IPS |
|
|
Image Classification (HP)
|
100% |
3911
727.3 IPS |
|
|
Image Classification (Q)
|
100% |
11273
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3638
59.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3256
52.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11572
187.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6074
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
5480
6.39 IPS |
|
|
Pose Estimation (Q)
|
98% |
32442
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
2552
202.4 IPS |
|
|
Object Detection (HP)
|
100% |
2700
214.1 IPS |
|
|
Object Detection (Q)
|
88% |
10493
841.2 IPS |
|
|
Face Detection (SP)
|
100% |
6406
76.1 IPS |
|
|
Face Detection (HP)
|
100% |
6374
75.7 IPS |
|
|
Face Detection (Q)
|
100% |
27075
321.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9171
70.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8744
67.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
27859
216.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18165
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20563
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
73818
95.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4284
158.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4463
164.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16346
605.4 IPS |
|
|
Text Classification (SP)
|
100% |
3864
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2545
3.40 KIPS |
|
|
Text Classification (Q)
|
92% |
5838
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4742
81.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5280
90.9 IPS |
|
|
Machine Translation (Q)
|
100% |
7107
122.4 IPS |
