ASUSTeK COMPUTER INC. ProArt P16 H7606WI_H7606WI
Geekbench AI Score
3413
Single Precision Score
1531
Half Precision Score
7017
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | paq85 |
| Upload Date | December 24 2024 09:47 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 H7606WI_H7606WI |
| Motherboard | ASUSTeK COMPUTER INC. H7606WI |
| Power Plan | Standard |
| 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% |
2657
494.1 IPS |
|
|
Image Classification (HP)
|
100% |
517
96.2 IPS |
|
|
Image Classification (Q)
|
99% |
7057
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
836
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
801
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3481
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7511
8.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
6145
7.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
28937
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
2638
209.2 IPS |
|
|
Object Detection (HP)
|
100% |
654
51.9 IPS |
|
|
Object Detection (Q)
|
86% |
7271
584.4 IPS |
|
|
Face Detection (SP)
|
100% |
5540
65.8 IPS |
|
|
Face Detection (HP)
|
100% |
1390
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
10363
123.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7797
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2457
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
9481
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16532
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15388
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
32783
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2232
82.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2009
74.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4108
152.1 IPS |
|
|
Text Classification (SP)
|
100% |
1428
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
625
834.5 IPS |
|
|
Text Classification (Q)
|
97% |
1466
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2145
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2890
58.1 IPS |
