ASUSTeK COMPUTER INC. ProArt P16 H7606WP_H7606WP
Geekbench AI Score
5841
Single Precision Score
5837
Half Precision Score
15027
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | TomKauw |
| Upload Date | July 15 2025 01:59 PM |
| 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 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ProArt P16 H7606WP_H7606WP |
| Motherboard | ASUSTeK COMPUTER INC. H7606WP |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3397
631.7 IPS |
|
|
Image Classification (HP)
|
100% |
3336
620.4 IPS |
|
|
Image Classification (Q)
|
100% |
9848
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4181
67.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4226
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11829
191.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8326
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
8322
9.71 IPS |
|
|
Pose Estimation (Q)
|
98% |
33044
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
3497
277.4 IPS |
|
|
Object Detection (HP)
|
100% |
3415
270.9 IPS |
|
|
Object Detection (Q)
|
88% |
9005
721.8 IPS |
|
|
Face Detection (SP)
|
100% |
8347
99.2 IPS |
|
|
Face Detection (HP)
|
100% |
8131
96.6 IPS |
|
|
Face Detection (Q)
|
100% |
25072
297.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9394
72.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9462
72.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
23864
185.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21549
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22377
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
81784
105.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4665
172.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4591
169.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15253
564.9 IPS |
|
|
Text Classification (SP)
|
100% |
3146
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3133
4.18 KIPS |
|
|
Text Classification (Q)
|
92% |
3811
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4508
77.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4628
79.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5956
102.6 IPS |
