ASUSTeK COMPUTER INC. ASUS TUF Gaming A18 FA808UM_FA808UM
Geekbench AI Score
16896
Single Precision Score
24006
Half Precision Score
13569
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 04:07 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A18 FA808UM_FA808UM |
| Motherboard | ASUSTeK COMPUTER INC. FA808UM |
| 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% |
7103
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
691
128.6 IPS |
|
|
Image Classification (Q)
|
99% |
6741
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12056
195.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18297
296.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11184
181.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
83825
97.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
268211
313.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
73318
85.9 IPS |
|
|
Object Detection (SP)
|
100% |
9128
724.1 IPS |
|
|
Object Detection (HP)
|
100% |
16813
1.33 KIPS |
|
|
Object Detection (Q)
|
87% |
8088
649.1 IPS |
|
|
Face Detection (SP)
|
100% |
22875
271.8 IPS |
|
|
Face Detection (HP)
|
100% |
37403
444.4 IPS |
|
|
Face Detection (Q)
|
97% |
19917
237.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
40079
308.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
92342
711.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
35249
281.8 IPS |
|
|
Style Transfer (SP)
|
100% |
130483
167.7 IPS |
|
|
Style Transfer (HP)
|
100% |
444638
571.6 IPS |
|
|
Style Transfer (Q)
|
98% |
107647
138.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24196
893.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46641
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18931
701.0 IPS |
|
|
Text Classification (SP)
|
100% |
2867
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3457
4.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1930
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3488
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4504
77.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1714
32.1 IPS |
