ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WV_FA401WV
Geekbench ML Score
11664
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 04:02 PM |
| Views | 2 |
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 | Performance |
| 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 | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6367
1.19 KIPS |
|
|
Image Classification (F16)
|
100% |
6494
1.22 KIPS |
|
|
Image Classification (I8)
|
100% |
5890
1.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8484
141.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
8297
138.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
7806
130.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
62118
75.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
62744
76.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
57488
69.6 IPS |
|
|
Object Detection (F32)
|
100% |
3634
271.3 IPS |
|
|
Object Detection (F16)
|
100% |
4430
330.7 IPS |
|
|
Object Detection (I8)
|
61% |
3838
286.5 IPS |
|
|
Face Detection (F32)
|
100% |
15754
187.3 IPS |
|
|
Face Detection (F16)
|
100% |
17178
204.3 IPS |
|
|
Face Detection (I8)
|
89% |
14520
172.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
24373
189.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
24947
193.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
25420
197.1 IPS |
|
|
Style Transfer (F32)
|
100% |
123076
161.9 IPS |
|
|
Style Transfer (F16)
|
100% |
94603
124.4 IPS |
|
|
Style Transfer (I8)
|
98% |
83679
110.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18463
659.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19475
695.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14756
527.0 IPS |
|
|
Text Classification (F32)
|
100% |
2270
3.26 KIPS |
|
|
Text Classification (F16)
|
100% |
2293
3.30 KIPS |
|
|
Text Classification (I8)
|
98% |
1411
2.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
3654
67.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3537
65.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1837
33.8 IPS |
