ASUSTeK COMPUTER INC. ProArt PX13 HN7306WU_HN7306WU
Geekbench AI Score
2918
Single Precision Score
1586
Half Precision Score
5175
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 09:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ProArt PX13 HN7306WU_HN7306WU |
| Motherboard | ASUSTeK COMPUTER INC. HN7306WU |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 w/ Radeon 880M |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1576
293.0 IPS |
|
|
Image Classification (HP)
|
100% |
522
97.1 IPS |
|
|
Image Classification (Q)
|
99% |
4583
854.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
982
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
833
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2995
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6370
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
5512
6.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
25743
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
1934
153.4 IPS |
|
|
Object Detection (HP)
|
100% |
713
56.5 IPS |
|
|
Object Detection (Q)
|
88% |
2314
185.5 IPS |
|
|
Face Detection (SP)
|
100% |
2960
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
1563
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
5834
69.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6784
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2323
17.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
5999
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14908
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13834
17.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30049
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2421
89.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2148
79.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4021
148.9 IPS |
|
|
Text Classification (SP)
|
100% |
1599
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1699
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2029
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2348
52.4 IPS |
