ASUSTeK COMPUTER INC. ProArt PX13 HN7306WI_HN7306WI
Geekbench ML Score
13303
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 08:51 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 | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7803
1.46 KIPS |
|
|
Image Classification (F16)
|
100% |
8032
1.50 KIPS |
|
|
Image Classification (I8)
|
100% |
7063
1.32 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9238
154.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
9379
156.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
8481
141.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
78032
94.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
79208
95.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
68684
83.2 IPS |
|
|
Object Detection (F32)
|
100% |
4576
341.6 IPS |
|
|
Object Detection (F16)
|
100% |
4404
328.8 IPS |
|
|
Object Detection (I8)
|
63% |
4185
312.4 IPS |
|
|
Face Detection (F32)
|
100% |
19503
231.9 IPS |
|
|
Face Detection (F16)
|
100% |
19629
233.4 IPS |
|
|
Face Detection (I8)
|
89% |
15779
187.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
43762
339.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
27498
213.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
26176
203.0 IPS |
|
|
Style Transfer (F32)
|
100% |
151589
199.4 IPS |
|
|
Style Transfer (F16)
|
100% |
107415
141.3 IPS |
|
|
Style Transfer (I8)
|
98% |
107729
141.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22436
801.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22495
803.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16977
606.3 IPS |
|
|
Text Classification (F32)
|
100% |
2121
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
2088
3.00 KIPS |
|
|
Text Classification (I8)
|
98% |
1243
1.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
3883
71.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3809
70.1 IPS |
|
|
Machine Translation (I8)
|
70% |
1932
35.6 IPS |
