ASUSTeK COMPUTER INC. ProArt PX13 HN7306WI_HN7306WI
Geekbench ML Score
3609
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 08:49 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ProArt PX13 HN7306WI_HN7306WI |
| Motherboard | ASUSTeK COMPUTER INC. HN7306WI |
| 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 | 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% |
1320
247.0 IPS |
|
|
Image Classification (F16)
|
100% |
1302
243.7 IPS |
|
|
Image Classification (I8)
|
99% |
3686
689.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
941
15.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
974
16.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2771
46.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7736
9.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
7739
9.37 IPS |
|
|
Pose Estimation (I8)
|
100% |
28685
34.7 IPS |
|
|
Object Detection (F32)
|
100% |
1502
112.1 IPS |
|
|
Object Detection (F16)
|
100% |
1499
111.9 IPS |
|
|
Object Detection (I8)
|
62% |
1786
133.3 IPS |
|
|
Face Detection (F32)
|
100% |
3327
39.6 IPS |
|
|
Face Detection (F16)
|
100% |
3328
39.6 IPS |
|
|
Face Detection (I8)
|
89% |
6010
71.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6450
50.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6494
50.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
15743
122.1 IPS |
|
|
Style Transfer (F32)
|
100% |
16422
21.6 IPS |
|
|
Style Transfer (F16)
|
100% |
15945
21.0 IPS |
|
|
Style Transfer (I8)
|
98% |
29724
39.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2654
94.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2831
101.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4381
156.5 IPS |
|
|
Text Classification (F32)
|
100% |
1389
2.00 KIPS |
|
|
Text Classification (F16)
|
100% |
1387
1.99 KIPS |
|
|
Text Classification (I8)
|
98% |
1174
1.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
2407
44.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2425
44.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3206
59.0 IPS |
