ASUSTeK COMPUTER INC. ProArt PZ13 HT5306QA_HT5306QA
Geekbench ML Score
2676
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 25 2024 12:21 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 | Performance |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
666
124.6 IPS |
|
|
Image Classification (F16)
|
100% |
669
125.2 IPS |
|
|
Image Classification (I8)
|
99% |
3930
735.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
786
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
774
12.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2115
35.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
4441
5.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
4222
5.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
17438
21.1 IPS |
|
|
Object Detection (F32)
|
100% |
851
63.5 IPS |
|
|
Object Detection (F16)
|
100% |
866
64.6 IPS |
|
|
Object Detection (I8)
|
65% |
3230
241.2 IPS |
|
|
Face Detection (F32)
|
100% |
1841
21.9 IPS |
|
|
Face Detection (F16)
|
100% |
1811
21.5 IPS |
|
|
Face Detection (I8)
|
89% |
6129
72.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2323
18.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2360
18.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
13323
103.3 IPS |
|
|
Style Transfer (F32)
|
100% |
10671
14.0 IPS |
|
|
Style Transfer (F16)
|
100% |
11228
14.8 IPS |
|
|
Style Transfer (I8)
|
98% |
29270
38.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2148
76.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2053
73.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3885
138.8 IPS |
|
|
Text Classification (F32)
|
100% |
1509
2.17 KIPS |
|
|
Text Classification (F16)
|
100% |
1504
2.16 KIPS |
|
|
Text Classification (I8)
|
98% |
1167
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
2152
39.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2126
39.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3523
64.8 IPS |
