ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WV_FA401WV
Geekbench ML Score
3388
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 23 2024 06:47 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WV_FA401WV |
| Motherboard | ASUSTeK COMPUTER INC. FA401WV |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 5.33 MB x 3 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1226
229.4 IPS |
|
|
Image Classification (F16)
|
100% |
1233
230.7 IPS |
|
|
Image Classification (I8)
|
99% |
3435
642.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
728
12.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
796
13.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2597
43.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
7503
9.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
7021
8.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
27436
33.2 IPS |
|
|
Object Detection (F32)
|
100% |
1402
104.7 IPS |
|
|
Object Detection (F16)
|
100% |
1474
110.1 IPS |
|
|
Object Detection (I8)
|
62% |
1663
124.1 IPS |
|
|
Face Detection (F32)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (F16)
|
100% |
3154
37.5 IPS |
|
|
Face Detection (I8)
|
89% |
5583
66.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6243
48.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6247
48.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
14945
115.9 IPS |
|
|
Style Transfer (F32)
|
100% |
15625
20.6 IPS |
|
|
Style Transfer (F16)
|
100% |
15159
19.9 IPS |
|
|
Style Transfer (I8)
|
98% |
28715
37.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2683
95.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2872
102.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3742
133.6 IPS |
|
|
Text Classification (F32)
|
100% |
1307
1.88 KIPS |
|
|
Text Classification (F16)
|
100% |
1325
1.90 KIPS |
|
|
Text Classification (I8)
|
98% |
1124
1.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
2160
39.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2298
42.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3373
62.1 IPS |
