ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401KM_FA401KM
Geekbench ML Score
4001
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 05 2025 11:50 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2106
394.1 IPS |
|
|
Image Classification (F16)
|
100% |
2143
401.0 IPS |
|
|
Image Classification (I8)
|
99% |
5332
997.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1648
27.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1609
26.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3251
54.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5604
6.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
5380
6.52 IPS |
|
|
Pose Estimation (I8)
|
100% |
22957
27.8 IPS |
|
|
Object Detection (F32)
|
100% |
2075
154.9 IPS |
|
|
Object Detection (F16)
|
100% |
2120
158.2 IPS |
|
|
Object Detection (I8)
|
62% |
2493
186.1 IPS |
|
|
Face Detection (F32)
|
100% |
2760
32.8 IPS |
|
|
Face Detection (F16)
|
100% |
2770
32.9 IPS |
|
|
Face Detection (I8)
|
89% |
5420
64.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6780
52.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
6731
52.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
16940
131.4 IPS |
|
|
Style Transfer (F32)
|
100% |
12949
17.0 IPS |
|
|
Style Transfer (F16)
|
100% |
13621
17.9 IPS |
|
|
Style Transfer (I8)
|
98% |
25501
33.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2879
102.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2868
102.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4955
177.0 IPS |
|
|
Text Classification (F32)
|
100% |
2104
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
2090
3.00 KIPS |
|
|
Text Classification (I8)
|
98% |
1611
2.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
2393
44.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2310
42.5 IPS |
|
|
Machine Translation (I8)
|
67% |
3199
58.9 IPS |
