ASUSTeK COMPUTER INC. ProArt P16 H7606WP_H7606WP
Geekbench AI Score
5551
Single Precision Score
5581
Half Precision Score
14664
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 08:57 PM |
| Views | 6 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3375
627.6 IPS |
|
|
Image Classification (HP)
|
100% |
3371
627.0 IPS |
|
|
Image Classification (Q)
|
100% |
9676
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4280
69.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4227
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11595
188.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8315
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
8298
9.68 IPS |
|
|
Pose Estimation (Q)
|
98% |
32613
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
3172
251.6 IPS |
|
|
Object Detection (HP)
|
100% |
3494
277.2 IPS |
|
|
Object Detection (Q)
|
88% |
8636
692.2 IPS |
|
|
Face Detection (SP)
|
100% |
7353
87.4 IPS |
|
|
Face Detection (HP)
|
100% |
7136
84.8 IPS |
|
|
Face Detection (Q)
|
100% |
24261
288.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9036
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8851
68.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
24508
190.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21409
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21552
27.7 IPS |
|
|
Style Transfer (Q)
|
98% |
83645
107.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4556
168.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4693
173.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15597
577.6 IPS |
|
|
Text Classification (SP)
|
100% |
3063
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (Q)
|
92% |
3793
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3676
63.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3719
64.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4947
85.2 IPS |
