ASUSTeK COMPUTER INC. ProArt PX13 HN7306WU_HN7306WU
Geekbench AI Score
14890
Single Precision Score
26431
Half Precision Score
11344
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 09:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| 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% |
6043
1.12 KIPS |
|
|
Image Classification (HP)
|
99% |
11059
2.06 KIPS |
|
|
Image Classification (Q)
|
100% |
5414
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10688
173.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15627
253.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9708
157.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
67526
78.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
218624
255.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
60862
71.3 IPS |
|
|
Object Detection (SP)
|
100% |
7597
602.6 IPS |
|
|
Object Detection (HP)
|
100% |
13088
1.04 KIPS |
|
|
Object Detection (Q)
|
89% |
6343
507.7 IPS |
|
|
Face Detection (SP)
|
100% |
15352
182.4 IPS |
|
|
Face Detection (HP)
|
100% |
25902
307.8 IPS |
|
|
Face Detection (Q)
|
97% |
12200
145.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
30675
236.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
67984
523.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
24693
198.4 IPS |
|
|
Style Transfer (SP)
|
100% |
117931
151.6 IPS |
|
|
Style Transfer (HP)
|
100% |
310951
399.7 IPS |
|
|
Style Transfer (Q)
|
98% |
102674
132.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26168
966.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42970
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18854
698.1 IPS |
|
|
Text Classification (SP)
|
100% |
3119
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
3661
4.89 KIPS |
|
|
Text Classification (Q)
|
97% |
1969
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3569
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3907
67.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1515
33.8 IPS |
