ASUSTeK COMPUTER INC. ProArt P16 H7606WX_H7606WX
Geekbench AI Score
976
Single Precision Score
981
Half Precision Score
2451
Quantized Score
Geekbench AI 1.5.0 Pro for Windows AVX2
Result Information
| User | daniel_matalon |
| Upload Date | December 24 2025 11:30 AM |
| Views | 9 |
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 | Silent |
| 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% |
504
93.7 IPS |
|
|
Image Classification (HP)
|
100% |
543
101.0 IPS |
|
|
Image Classification (Q)
|
100% |
1083
201.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1301
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1206
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1277
1.49 IPS |
|
|
Pose Estimation (Q)
|
98% |
4794
5.61 IPS |
|
|
Object Detection (SP)
|
100% |
588
46.6 IPS |
|
|
Object Detection (HP)
|
100% |
572
45.4 IPS |
|
|
Object Detection (Q)
|
88% |
1456
116.7 IPS |
|
|
Face Detection (SP)
|
100% |
2036
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
1915
22.8 IPS |
|
|
Face Detection (Q)
|
100% |
4134
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1672
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1524
11.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
4117
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3245
4.17 IPS |
|
|
Style Transfer (HP)
|
100% |
3115
4.00 IPS |
|
|
Style Transfer (Q)
|
98% |
10302
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
622
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
673
24.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2352
87.1 IPS |
|
|
Text Classification (SP)
|
100% |
477
636.9 IPS |
|
|
Text Classification (HP)
|
100% |
449
599.8 IPS |
|
|
Text Classification (Q)
|
92% |
1170
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1152
19.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1654
28.5 IPS |
