ASUSTeK COMPUTER INC. ProArt PZ13 HT5306QA_HT5306QA
Geekbench ML Score
2647
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 10 2024 01:08 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
637
119.3 IPS |
|
|
Image Classification (F16)
|
100% |
664
124.2 IPS |
|
|
Image Classification (I8)
|
99% |
3825
715.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
745
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
747
12.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2087
34.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
4591
5.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
4652
5.63 IPS |
|
|
Pose Estimation (I8)
|
100% |
17461
21.1 IPS |
|
|
Object Detection (F32)
|
100% |
845
63.1 IPS |
|
|
Object Detection (F16)
|
100% |
855
63.9 IPS |
|
|
Object Detection (I8)
|
65% |
3258
243.3 IPS |
|
|
Face Detection (F32)
|
100% |
1804
21.4 IPS |
|
|
Face Detection (F16)
|
100% |
1827
21.7 IPS |
|
|
Face Detection (I8)
|
89% |
6130
72.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2340
18.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2338
18.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
13189
102.3 IPS |
|
|
Style Transfer (F32)
|
100% |
10645
14.0 IPS |
|
|
Style Transfer (F16)
|
100% |
10808
14.2 IPS |
|
|
Style Transfer (I8)
|
98% |
28854
38.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2081
74.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2073
74.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3796
135.6 IPS |
|
|
Text Classification (F32)
|
100% |
1422
2.04 KIPS |
|
|
Text Classification (F16)
|
100% |
1453
2.09 KIPS |
|
|
Text Classification (I8)
|
98% |
1164
1.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
2128
39.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2122
39.1 IPS |
|
|
Machine Translation (I8)
|
67% |
3416
62.9 IPS |
