ASUSTeK COMPUTER INC. ProArt PZ13 HT5306QA_HT5306QA
Geekbench ML Score
2635
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 10 2024 01:06 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% |
683
127.9 IPS |
|
|
Image Classification (F16)
|
100% |
679
127.0 IPS |
|
|
Image Classification (I8)
|
99% |
3971
743.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
785
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
775
12.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2091
34.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
4503
5.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
4640
5.62 IPS |
|
|
Pose Estimation (I8)
|
100% |
17684
21.4 IPS |
|
|
Object Detection (F32)
|
100% |
858
64.1 IPS |
|
|
Object Detection (F16)
|
100% |
862
64.4 IPS |
|
|
Object Detection (I8)
|
65% |
3252
242.8 IPS |
|
|
Face Detection (F32)
|
100% |
1832
21.8 IPS |
|
|
Face Detection (F16)
|
100% |
1854
22.0 IPS |
|
|
Face Detection (I8)
|
89% |
6064
72.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2359
18.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2302
17.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
13036
101.1 IPS |
|
|
Style Transfer (F32)
|
100% |
10987
14.5 IPS |
|
|
Style Transfer (F16)
|
100% |
10840
14.3 IPS |
|
|
Style Transfer (I8)
|
98% |
28685
37.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2086
74.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2093
74.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3685
131.6 IPS |
|
|
Text Classification (F32)
|
100% |
1463
2.10 KIPS |
|
|
Text Classification (F16)
|
100% |
1443
2.07 KIPS |
|
|
Text Classification (I8)
|
98% |
1156
1.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
1447
26.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2075
38.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3454
63.6 IPS |
