ASUSTeK COMPUTER INC. ProArt PX13 HN7306WU_HN7306WU
Geekbench AI Score
2927
Single Precision Score
1415
Half Precision Score
6558
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tommyboy |
| Upload Date | September 13 2025 01:50 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ProArt PX13 HN7306WU_HN7306WU |
| Motherboard | ASUSTeK COMPUTER INC. HN7306WU |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3036
564.7 IPS |
|
|
Image Classification (HP)
|
100% |
670
124.7 IPS |
|
|
Image Classification (Q)
|
99% |
6577
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1004
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8630
140.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4686
5.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
4045
4.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
18861
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
2265
179.6 IPS |
|
|
Object Detection (HP)
|
100% |
527
41.8 IPS |
|
|
Object Detection (Q)
|
86% |
5473
439.9 IPS |
|
|
Face Detection (SP)
|
100% |
5321
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
1328
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
9595
114.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5787
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1965
15.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13294
106.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10873
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10533
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
25977
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1667
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1669
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2799
103.6 IPS |
|
|
Text Classification (SP)
|
100% |
1382
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
582
776.7 IPS |
|
|
Text Classification (Q)
|
97% |
1014
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1725
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2674
53.7 IPS |
