ASUSTeK COMPUTER INC. ProArt PX13 HN7306WU_HN7306WU
Geekbench AI Score
14537
Single Precision Score
26877
Half Precision Score
11346
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jessefreeman |
| Upload Date | March 05 2025 09:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ProArt PX13 HN7306WU_HN7306WU |
| Motherboard | ASUSTeK COMPUTER INC. HN7306WU |
| Power Plan | Balanced |
| 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% |
6003
1.12 KIPS |
|
|
Image Classification (HP)
|
99% |
12334
2.30 KIPS |
|
|
Image Classification (Q)
|
99% |
5861
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10327
167.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14713
238.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9362
152.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
60744
70.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
209889
244.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
53419
62.6 IPS |
|
|
Object Detection (SP)
|
100% |
7334
581.8 IPS |
|
|
Object Detection (HP)
|
100% |
13979
1.11 KIPS |
|
|
Object Detection (Q)
|
84% |
6626
534.5 IPS |
|
|
Face Detection (SP)
|
100% |
15791
187.6 IPS |
|
|
Face Detection (HP)
|
100% |
28315
336.4 IPS |
|
|
Face Detection (Q)
|
97% |
14239
169.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
28382
218.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
67448
519.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
22127
177.4 IPS |
|
|
Style Transfer (SP)
|
100% |
112869
145.1 IPS |
|
|
Style Transfer (HP)
|
100% |
285764
367.4 IPS |
|
|
Style Transfer (Q)
|
98% |
99763
128.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24431
902.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41201
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18076
669.3 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
3863
5.16 KIPS |
|
|
Text Classification (Q)
|
97% |
2006
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3800
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4254
73.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1598
30.0 IPS |
