asus ASUS_AI2401_D
Geekbench AI Score
472
Single Precision Score
471
Half Precision Score
1093
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | jcardoso |
| Upload Date | September 25 2024 09:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
293
54.6 IPS |
|
|
Image Classification (HP)
|
100% |
292
54.3 IPS |
|
|
Image Classification (Q)
|
99% |
780
145.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
367
5.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
758
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
498
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
491
0.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
1923
2.25 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
279
22.2 IPS |
|
|
Object Detection (Q)
|
87% |
804
64.5 IPS |
|
|
Face Detection (SP)
|
100% |
676
8.03 IPS |
|
|
Face Detection (HP)
|
100% |
679
8.07 IPS |
|
|
Face Detection (Q)
|
97% |
1622
19.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
599
4.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
603
4.64 IPS |
|
|
Depth Estimation (Q)
|
64% |
1470
13.3 IPS |
|
|
Style Transfer (SP)
|
100% |
971
1.25 IPS |
|
|
Style Transfer (HP)
|
100% |
966
1.24 IPS |
|
|
Style Transfer (Q)
|
98% |
2437
3.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
328
12.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1113
41.2 IPS |
|
|
Text Classification (SP)
|
100% |
437
583.3 IPS |
|
|
Text Classification (HP)
|
100% |
436
582.0 IPS |
|
|
Text Classification (Q)
|
91% |
729
979.5 IPS |
|
|
Machine Translation (SP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
651
11.2 IPS |
|
|
Machine Translation (Q)
|
57% |
565
13.8 IPS |
