ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401UM_FA401UM
Geekbench AI Score
8055
Single Precision Score
12138
Half Precision Score
6210
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hitch22 |
| Upload Date | November 01 2025 10:08 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401UM_FA401UM |
| Motherboard | ASUSTeK COMPUTER INC. FA401UM |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2378
442.2 IPS |
|
|
Image Classification (HP)
|
100% |
4589
853.4 IPS |
|
|
Image Classification (Q)
|
100% |
2644
491.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4513
73.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5027
81.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3671
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
39873
46.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
73978
86.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
30482
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
2847
225.9 IPS |
|
|
Object Detection (HP)
|
100% |
3955
313.7 IPS |
|
|
Object Detection (Q)
|
87% |
2775
222.9 IPS |
|
|
Face Detection (SP)
|
100% |
6715
79.8 IPS |
|
|
Face Detection (HP)
|
100% |
11595
137.8 IPS |
|
|
Face Detection (Q)
|
97% |
5710
68.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18230
140.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
27881
214.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
14391
115.4 IPS |
|
|
Style Transfer (SP)
|
100% |
67005
86.1 IPS |
|
|
Style Transfer (HP)
|
100% |
111983
144.0 IPS |
|
|
Style Transfer (Q)
|
98% |
48167
62.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13625
503.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22479
830.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8984
332.7 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3222
4.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1687
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3677
63.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3924
67.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1732
32.5 IPS |
