ASUSTeK COMPUTER INC. ProArt P16 H7606WX_H7606WX
Geekbench AI Score
5794
Single Precision Score
5797
Half Precision Score
15132
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | October 19 2025 06:06 AM |
| Views | 8 |
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 H7606WX_H7606WX |
| Motherboard | ASUSTeK COMPUTER INC. H7606WX |
| Power Plan | Turbo |
| 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% |
3410
634.1 IPS |
|
|
Image Classification (HP)
|
100% |
3377
628.1 IPS |
|
|
Image Classification (Q)
|
100% |
9963
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4148
67.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4169
67.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11661
189.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8238
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
8319
9.71 IPS |
|
|
Pose Estimation (Q)
|
98% |
32602
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
3337
264.7 IPS |
|
|
Object Detection (HP)
|
100% |
3447
273.5 IPS |
|
|
Object Detection (Q)
|
88% |
9681
776.1 IPS |
|
|
Face Detection (SP)
|
100% |
8307
98.7 IPS |
|
|
Face Detection (HP)
|
100% |
8150
96.8 IPS |
|
|
Face Detection (Q)
|
100% |
28964
344.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9632
74.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9387
72.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
23993
186.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22355
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22418
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
83716
108.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4512
166.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4542
167.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14980
554.8 IPS |
|
|
Text Classification (SP)
|
100% |
3109
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3148
4.20 KIPS |
|
|
Text Classification (Q)
|
92% |
3851
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4374
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4335
74.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5116
88.1 IPS |
