ASUSTeK COMPUTER INC. ProArt P16 H7606WI_H7606WI
Geekbench AI Score
3003
Single Precision Score
1584
Half Precision Score
5120
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | eclipse10000 |
| Upload Date | November 30 2024 01:39 PM |
| Views | 5 |
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 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ProArt P16 H7606WI_H7606WI |
| Motherboard | ASUSTeK COMPUTER INC. H7606WI |
| Power Plan | Ausbalanciert |
| 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% |
1578
293.4 IPS |
|
|
Image Classification (HP)
|
100% |
537
99.8 IPS |
|
|
Image Classification (Q)
|
99% |
4401
820.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
991
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
908
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2852
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6595
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
5907
6.89 IPS |
|
|
Pose Estimation (Q)
|
95% |
27681
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
1961
155.5 IPS |
|
|
Object Detection (HP)
|
100% |
617
48.9 IPS |
|
|
Object Detection (Q)
|
88% |
2133
171.0 IPS |
|
|
Face Detection (SP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
1649
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
5435
64.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6813
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2434
18.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
7151
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15005
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14706
18.9 IPS |
|
|
Style Transfer (Q)
|
98% |
30928
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2387
88.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2184
80.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3293
121.9 IPS |
|
|
Text Classification (SP)
|
100% |
1744
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
668
892.2 IPS |
|
|
Text Classification (Q)
|
97% |
1567
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2237
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2698
60.2 IPS |
