Upload Date | August 16 2024 05:51 PM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | ASUSTeK COMPUTER INC. ProArt PX13 HN7306WV_HN7306WV |
Motherboard | ASUSTeK COMPUTER INC. HN7306WV |
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 | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1332
249.2 IPS |
|
Image Classification (F16)
|
100% |
1309
244.9 IPS |
|
Image Classification (I8)
|
99% |
3599
673.6 IPS |
|
Image Segmentation (F32)
|
100% |
773
12.9 IPS |
|
Image Segmentation (F16)
|
100% |
849
14.2 IPS |
|
Image Segmentation (I8)
|
98% |
2685
44.8 IPS |
|
Pose Estimation (F32)
|
100% |
7358
8.91 IPS |
|
Pose Estimation (F16)
|
100% |
7550
9.14 IPS |
|
Pose Estimation (I8)
|
100% |
28116
34.0 IPS |
|
Object Detection (F32)
|
100% |
1465
109.4 IPS |
|
Object Detection (F16)
|
100% |
1498
111.8 IPS |
|
Object Detection (I8)
|
62% |
1748
130.5 IPS |
|
Face Detection (F32)
|
100% |
3237
38.5 IPS |
|
Face Detection (F16)
|
100% |
3257
38.7 IPS |
|
Face Detection (I8)
|
89% |
5791
68.9 IPS |
|
Depth Estimation (F32)
|
100% |
6522
50.6 IPS |
|
Depth Estimation (F16)
|
100% |
6447
50.0 IPS |
|
Depth Estimation (I8)
|
96% |
15658
121.4 IPS |
|
Style Transfer (F32)
|
100% |
15586
20.5 IPS |
|
Style Transfer (F16)
|
100% |
15270
20.1 IPS |
|
Style Transfer (I8)
|
98% |
28496
37.5 IPS |
|
Image Super-Resolution (F32)
|
100% |
2703
96.5 IPS |
|
Image Super-Resolution (F16)
|
100% |
2529
90.3 IPS |
|
Image Super-Resolution (I8)
|
99% |
4359
155.7 IPS |
|
Text Classification (F32)
|
100% |
1330
1.91 KIPS |
|
Text Classification (F16)
|
100% |
1364
1.96 KIPS |
|
Text Classification (I8)
|
98% |
1144
1.64 KIPS |
|
Machine Translation (F32)
|
100% |
2315
42.6 IPS |
|
Machine Translation (F16)
|
100% |
2337
43.0 IPS |
|
Machine Translation (I8)
|
67% |
3184
58.6 IPS |