ASUSTeK COMPUTER INC. ProArt PZ13 HT5306QA_HT5306QA
Geekbench ML Score
1564
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 10 2024 01:17 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ProArt PZ13 HT5306QA_HT5306QA |
| Motherboard | ASUSTeK COMPUTER INC. HT5306QA |
| Power Plan | Standard |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Qualcomm(R) Adreno(TM) X1-45 GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1048
196.1 IPS |
|
|
Image Classification (F16)
|
100% |
1049
196.3 IPS |
|
|
Image Classification (I8)
|
100% |
823
154.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1220
20.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1210
20.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
979
16.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6475
7.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
6411
7.76 IPS |
|
|
Pose Estimation (I8)
|
100% |
5639
6.83 IPS |
|
|
Object Detection (F32)
|
100% |
672
50.2 IPS |
|
|
Object Detection (F16)
|
100% |
674
50.3 IPS |
|
|
Object Detection (I8)
|
71% |
595
44.4 IPS |
|
|
Face Detection (F32)
|
100% |
2232
26.5 IPS |
|
|
Face Detection (F16)
|
100% |
2225
26.5 IPS |
|
|
Face Detection (I8)
|
93% |
1551
18.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4013
31.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4031
31.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
3210
24.9 IPS |
|
|
Style Transfer (F32)
|
100% |
6363
8.37 IPS |
|
|
Style Transfer (F16)
|
100% |
6320
8.31 IPS |
|
|
Style Transfer (I8)
|
98% |
5742
7.55 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3004
107.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2933
104.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2099
74.9 IPS |
|
|
Text Classification (F32)
|
100% |
276
396.4 IPS |
|
|
Text Classification (F16)
|
100% |
271
389.7 IPS |
|
|
Text Classification (I8)
|
98% |
216
310.3 IPS |
|
|
Machine Translation (F32)
|
100% |
803
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
802
14.8 IPS |
|
|
Machine Translation (I8)
|
48% |
460
8.46 IPS |
