ASUSTeK COMPUTER INC. ProArt P16 H7606WP_H7606WP
Geekbench AI Score
19608
Single Precision Score
37566
Half Precision Score
14752
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 09:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| 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% |
8799
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
14742
2.74 KIPS |
|
|
Image Classification (Q)
|
100% |
5707
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14467
234.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23030
373.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13978
227.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
99035
115.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
311332
363.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
77608
90.9 IPS |
|
|
Object Detection (SP)
|
100% |
10350
821.0 IPS |
|
|
Object Detection (HP)
|
100% |
18901
1.50 KIPS |
|
|
Object Detection (Q)
|
83% |
8204
662.9 IPS |
|
|
Face Detection (SP)
|
100% |
25558
303.7 IPS |
|
|
Face Detection (HP)
|
100% |
45943
545.9 IPS |
|
|
Face Detection (Q)
|
97% |
22014
262.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
44412
342.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
101029
778.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
38706
308.9 IPS |
|
|
Style Transfer (SP)
|
100% |
140641
180.8 IPS |
|
|
Style Transfer (HP)
|
100% |
531337
683.0 IPS |
|
|
Style Transfer (Q)
|
98% |
129285
166.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28492
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57201
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23024
852.6 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2051
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4801
82.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5384
92.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1848
34.7 IPS |
