ASUSTeK COMPUTER INC. ProArt PZ13 HT5306QA_HT5306QA
Geekbench ML Score
1563
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 10 2024 01:15 PM |
| Views | 3 |
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% |
1035
193.7 IPS |
|
|
Image Classification (F16)
|
100% |
1048
196.1 IPS |
|
|
Image Classification (I8)
|
100% |
804
150.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1220
20.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1220
20.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
980
16.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6472
7.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
6449
7.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
5663
6.86 IPS |
|
|
Object Detection (F32)
|
100% |
678
50.6 IPS |
|
|
Object Detection (F16)
|
100% |
666
49.7 IPS |
|
|
Object Detection (I8)
|
71% |
593
44.3 IPS |
|
|
Face Detection (F32)
|
100% |
2219
26.4 IPS |
|
|
Face Detection (F16)
|
100% |
2232
26.5 IPS |
|
|
Face Detection (I8)
|
93% |
1557
18.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4044
31.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4039
31.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
3214
24.9 IPS |
|
|
Style Transfer (F32)
|
100% |
6364
8.37 IPS |
|
|
Style Transfer (F16)
|
100% |
6322
8.32 IPS |
|
|
Style Transfer (I8)
|
98% |
5727
7.53 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2995
107.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3002
107.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2082
74.4 IPS |
|
|
Text Classification (F32)
|
100% |
277
398.0 IPS |
|
|
Text Classification (F16)
|
100% |
271
389.4 IPS |
|
|
Text Classification (I8)
|
98% |
215
308.6 IPS |
|
|
Machine Translation (F32)
|
100% |
803
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
804
14.8 IPS |
|
|
Machine Translation (I8)
|
48% |
458
8.44 IPS |
