ASUSTeK COMPUTER INC. ProArt PZ13 HT5306QA_HT5306QA
Geekbench AI Score
1816
Single Precision Score
1444
Half Precision Score
4972
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | PCmasterRacer |
| Upload Date | September 04 2024 02:54 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| 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 | Whisper |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
676
125.7 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.6 IPS |
|
|
Image Classification (Q)
|
99% |
3829
714.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2075
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4487
5.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
4948
5.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
16841
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
724
57.4 IPS |
|
|
Object Detection (HP)
|
99% |
599
47.6 IPS |
|
|
Object Detection (Q)
|
88% |
3946
316.3 IPS |
|
|
Face Detection (SP)
|
100% |
1795
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
832
9.88 IPS |
|
|
Face Detection (Q)
|
97% |
6162
73.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2336
18.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2310
17.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
11642
93.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9788
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9051
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23722
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1841
68.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1029
38.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3387
125.4 IPS |
|
|
Text Classification (SP)
|
100% |
1550
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
423
564.8 IPS |
|
|
Text Classification (Q)
|
97% |
1258
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1869
32.2 IPS |
|
|
Machine Translation (HP)
|
99% |
1386
23.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2414
53.8 IPS |
