ASUSTeK COMPUTER INC. ProArt PZ13 HT5306QA_HT5306QA
Geekbench ML Score
2625
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 20 2024 09:37 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 | 3.24 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% |
663
124.0 IPS |
|
|
Image Classification (F16)
|
100% |
671
125.6 IPS |
|
|
Image Classification (I8)
|
99% |
3928
735.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
786
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
775
12.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2115
35.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
4573
5.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
4310
5.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
17371
21.0 IPS |
|
|
Object Detection (F32)
|
100% |
845
63.1 IPS |
|
|
Object Detection (F16)
|
100% |
838
62.6 IPS |
|
|
Object Detection (I8)
|
65% |
3203
239.1 IPS |
|
|
Face Detection (F32)
|
100% |
1813
21.6 IPS |
|
|
Face Detection (F16)
|
100% |
1807
21.5 IPS |
|
|
Face Detection (I8)
|
89% |
6122
72.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2365
18.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2353
18.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
13329
103.4 IPS |
|
|
Style Transfer (F32)
|
100% |
10708
14.1 IPS |
|
|
Style Transfer (F16)
|
100% |
9803
12.9 IPS |
|
|
Style Transfer (I8)
|
98% |
27835
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1936
69.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1977
70.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3586
128.1 IPS |
|
|
Text Classification (F32)
|
100% |
1386
1.99 KIPS |
|
|
Text Classification (F16)
|
100% |
1550
2.23 KIPS |
|
|
Text Classification (I8)
|
98% |
1172
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
2127
39.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2102
38.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3226
59.4 IPS |
