ASUSTeK COMPUTER INC. ProArt P16 H7606WI_H7606WI
Geekbench AI Score
5315
Single Precision Score
5295
Half Precision Score
13476
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 06 2024 06:27 PM |
| Views | 6 |
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 Home (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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3036
564.6 IPS |
|
|
Image Classification (HP)
|
100% |
3028
563.1 IPS |
|
|
Image Classification (Q)
|
100% |
8196
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2422
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2561
41.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8441
136.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8339
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
8329
9.72 IPS |
|
|
Pose Estimation (Q)
|
98% |
32771
38.4 IPS |
|
|
Object Detection (SP)
|
100% |
2959
234.7 IPS |
|
|
Object Detection (HP)
|
100% |
3063
242.9 IPS |
|
|
Object Detection (Q)
|
88% |
8676
695.5 IPS |
|
|
Face Detection (SP)
|
100% |
8879
105.5 IPS |
|
|
Face Detection (HP)
|
100% |
8912
105.9 IPS |
|
|
Face Detection (Q)
|
100% |
22489
267.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9039
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9146
70.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
23749
184.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22252
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22269
28.6 IPS |
|
|
Style Transfer (Q)
|
98% |
83159
107.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4561
168.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4506
166.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14489
536.6 IPS |
|
|
Text Classification (SP)
|
100% |
2831
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2657
3.55 KIPS |
|
|
Text Classification (Q)
|
92% |
3396
4.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4303
74.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4034
69.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4595
79.2 IPS |
