asus ASUS_AI2401_D
Geekbench AI Score
2498
Single Precision Score
2543
Half Precision Score
3812
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | jcardoso |
| Upload Date | August 15 2024 10:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1593
296.3 IPS |
|
|
Image Classification (HP)
|
100% |
1920
357.0 IPS |
|
|
Image Classification (Q)
|
100% |
2609
485.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3176
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3906
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3905
4.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
8786
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1967
156.6 IPS |
|
|
Object Detection (HP)
|
98% |
1948
155.0 IPS |
|
|
Object Detection (Q)
|
87% |
2800
224.9 IPS |
|
|
Face Detection (SP)
|
100% |
3793
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
3835
45.6 IPS |
|
|
Face Detection (Q)
|
95% |
6029
72.0 IPS |
|
|
Depth Estimation (SP)
|
98% |
3711
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3743
28.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
6970
56.5 IPS |
|
|
Style Transfer (SP)
|
89% |
9193
11.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9176
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17645
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2019
74.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2052
75.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4466
165.5 IPS |
|
|
Text Classification (SP)
|
100% |
824
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
820
1.09 KIPS |
|
|
Text Classification (Q)
|
88% |
1106
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1698
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1647
28.4 IPS |
|
|
Machine Translation (Q)
|
50% |
868
30.8 IPS |
