ASUSTeK COMPUTER INC. ProArt P16 H7606WX_H7606WX
Geekbench AI Score
5999
Single Precision Score
5902
Half Precision Score
15588
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | TomKauw |
| Upload Date | January 05 2026 10:49 PM |
| Views | 4 |
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% |
3542
658.7 IPS |
|
|
Image Classification (HP)
|
100% |
3353
623.6 IPS |
|
|
Image Classification (Q)
|
100% |
10269
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4519
73.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4387
71.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11970
194.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8356
9.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
8395
9.80 IPS |
|
|
Pose Estimation (Q)
|
98% |
31717
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
3541
280.8 IPS |
|
|
Object Detection (HP)
|
100% |
3575
283.6 IPS |
|
|
Object Detection (Q)
|
88% |
9789
784.7 IPS |
|
|
Face Detection (SP)
|
100% |
8377
99.5 IPS |
|
|
Face Detection (HP)
|
100% |
8650
102.8 IPS |
|
|
Face Detection (Q)
|
100% |
28868
343.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9445
72.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9544
73.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
25251
196.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22539
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21723
27.9 IPS |
|
|
Style Transfer (Q)
|
98% |
83634
107.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5009
185.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4618
170.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15407
570.6 IPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3141
4.19 KIPS |
|
|
Text Classification (Q)
|
92% |
3901
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4451
76.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4472
77.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6060
104.4 IPS |
