asus ASUS_AI2401_D
Geekbench AI Score
1067
Single Precision Score
1446
Half Precision Score
1514
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | jcardoso |
| Upload Date | August 15 2024 10:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | asus ASUS_AI2401_D |
| Model ID | asus ASUS_AI2401_D |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 22.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
851
158.2 IPS |
|
|
Image Classification (HP)
|
100% |
705
131.2 IPS |
|
|
Image Classification (Q)
|
99% |
741
138.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1086
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1064
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2178
2.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
2138
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (HP)
|
100% |
741
58.8 IPS |
|
|
Object Detection (Q)
|
89% |
1088
87.1 IPS |
|
|
Face Detection (SP)
|
100% |
2714
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
3285
39.0 IPS |
|
|
Face Detection (Q)
|
97% |
2817
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1752
13.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3483
26.8 IPS |
|
|
Depth Estimation (Q)
|
74% |
3406
27.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5961
7.66 IPS |
|
|
Style Transfer (HP)
|
100% |
8919
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9641
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1654
61.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1609
59.6 IPS |
|
|
Text Classification (SP)
|
100% |
326
435.7 IPS |
|
|
Text Classification (HP)
|
100% |
329
438.7 IPS |
|
|
Text Classification (Q)
|
91% |
529
710.9 IPS |
|
|
Machine Translation (SP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (HP)
|
100% |
546
9.41 IPS |
|
|
Machine Translation (Q)
|
57% |
431
10.5 IPS |
