ASUSTeK COMPUTER INC. ProArt PX13 HN7306WU_HN7306WU
Geekbench AI Score
5739
Single Precision Score
5728
Half Precision Score
15034
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Lyth03 |
| Upload Date | July 06 2025 11:58 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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% |
3404
633.0 IPS |
|
|
Image Classification (HP)
|
100% |
3370
626.6 IPS |
|
|
Image Classification (Q)
|
100% |
9898
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4223
68.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4144
67.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11608
188.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7832
9.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
7795
9.10 IPS |
|
|
Pose Estimation (Q)
|
98% |
32658
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
3394
269.2 IPS |
|
|
Object Detection (HP)
|
100% |
3458
274.3 IPS |
|
|
Object Detection (Q)
|
88% |
9497
761.3 IPS |
|
|
Face Detection (SP)
|
100% |
8235
97.9 IPS |
|
|
Face Detection (HP)
|
100% |
8323
98.9 IPS |
|
|
Face Detection (Q)
|
100% |
25277
300.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9550
73.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9297
71.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
24920
193.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21317
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21621
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
81500
105.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4514
166.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4640
171.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14772
547.1 IPS |
|
|
Text Classification (SP)
|
100% |
3133
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3081
4.11 KIPS |
|
|
Text Classification (Q)
|
92% |
3824
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4283
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4229
72.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5708
98.3 IPS |
