ASUSTeK COMPUTER INC. ProArt P16 H7606WP_H7606WP
Geekbench AI Score
5783
Single Precision Score
5830
Half Precision Score
15023
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | imholyagnostic |
| Upload Date | June 30 2025 12:10 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 | Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ProArt P16 H7606WP_H7606WP |
| Motherboard | ASUSTeK COMPUTER INC. H7606WP |
| 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% |
3439
639.5 IPS |
|
|
Image Classification (HP)
|
100% |
3336
620.5 IPS |
|
|
Image Classification (Q)
|
100% |
10140
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4182
67.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4294
69.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11538
187.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8233
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
8305
9.69 IPS |
|
|
Pose Estimation (Q)
|
98% |
31460
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
3351
265.8 IPS |
|
|
Object Detection (HP)
|
100% |
3410
270.5 IPS |
|
|
Object Detection (Q)
|
88% |
9364
750.6 IPS |
|
|
Face Detection (SP)
|
100% |
8230
97.8 IPS |
|
|
Face Detection (HP)
|
100% |
8142
96.7 IPS |
|
|
Face Detection (Q)
|
100% |
25112
298.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9495
73.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9423
72.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
24780
192.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21590
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22678
29.2 IPS |
|
|
Style Transfer (Q)
|
98% |
82269
106.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4605
170.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4590
169.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15151
561.1 IPS |
|
|
Text Classification (SP)
|
100% |
3142
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (Q)
|
92% |
3788
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4323
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4381
75.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5785
99.6 IPS |
