ASUSTeK COMPUTER INC. ProArt P16 H7606WI_H7606WI
Geekbench AI Score
9039
Single Precision Score
13404
Half Precision Score
6519
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 10:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ProArt P16 H7606WI_H7606WI |
| Motherboard | ASUSTeK COMPUTER INC. H7606WI |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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% |
3497
650.4 IPS |
|
|
Image Classification (HP)
|
100% |
5481
1.02 KIPS |
|
|
Image Classification (Q)
|
100% |
3124
581.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4681
75.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5898
95.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3918
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
49743
58.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
90901
106.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34204
40.1 IPS |
|
|
Object Detection (SP)
|
100% |
2741
217.4 IPS |
|
|
Object Detection (HP)
|
100% |
4388
348.0 IPS |
|
|
Object Detection (Q)
|
87% |
2307
185.3 IPS |
|
|
Face Detection (SP)
|
100% |
6783
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
12006
142.7 IPS |
|
|
Face Detection (Q)
|
97% |
6132
73.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20680
159.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34049
262.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
16451
131.9 IPS |
|
|
Style Transfer (SP)
|
100% |
84022
108.0 IPS |
|
|
Style Transfer (HP)
|
100% |
145302
186.8 IPS |
|
|
Style Transfer (Q)
|
98% |
55894
72.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15294
564.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22265
822.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8898
329.5 IPS |
|
|
Text Classification (SP)
|
100% |
2514
3.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2809
3.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1801
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3602
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3910
67.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1590
29.8 IPS |
