ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401KM_FA401KM
Geekbench ML Score
5663
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 05 2025 11:52 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401KM_FA401KM |
| Motherboard | ASUSTeK COMPUTER INC. FA401KM |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 w/ Radeon 860M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 860M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2219
415.2 IPS |
|
|
Image Classification (F16)
|
100% |
2159
404.1 IPS |
|
|
Image Classification (I8)
|
100% |
1917
358.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
3446
57.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
3498
58.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2875
48.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
32168
39.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
31975
38.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
24881
30.1 IPS |
|
|
Object Detection (F32)
|
100% |
1460
109.0 IPS |
|
|
Object Detection (F16)
|
100% |
1374
102.6 IPS |
|
|
Object Detection (I8)
|
62% |
1308
97.7 IPS |
|
|
Face Detection (F32)
|
100% |
5210
61.9 IPS |
|
|
Face Detection (F16)
|
100% |
5240
62.3 IPS |
|
|
Face Detection (I8)
|
89% |
4155
49.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
12856
99.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
12816
99.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
10567
81.9 IPS |
|
|
Style Transfer (F32)
|
100% |
54367
71.5 IPS |
|
|
Style Transfer (F16)
|
100% |
52976
69.7 IPS |
|
|
Style Transfer (I8)
|
98% |
40530
53.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10136
362.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10386
370.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7358
262.8 IPS |
|
|
Text Classification (F32)
|
100% |
2069
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
2148
3.09 KIPS |
|
|
Text Classification (I8)
|
98% |
1496
2.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
3178
58.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3217
59.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1509
27.8 IPS |
