asus ASUS_AI2401_D
Geekbench AI Score
380
Single Precision Score
379
Half Precision Score
846
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | jcardoso |
| Upload Date | August 15 2024 11:08 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
220
41.0 IPS |
|
|
Image Classification (HP)
|
100% |
227
42.2 IPS |
|
|
Image Classification (Q)
|
97% |
571
106.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
288
4.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
578
9.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
401
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
400
0.47 IPS |
|
|
Pose Estimation (Q)
|
98% |
1496
1.75 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
222
17.6 IPS |
|
|
Object Detection (Q)
|
89% |
612
49.0 IPS |
|
|
Face Detection (SP)
|
100% |
558
6.63 IPS |
|
|
Face Detection (HP)
|
100% |
562
6.68 IPS |
|
|
Face Detection (Q)
|
97% |
1271
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
504
3.88 IPS |
|
|
Depth Estimation (HP)
|
100% |
504
3.88 IPS |
|
|
Depth Estimation (Q)
|
73% |
1282
10.5 IPS |
|
|
Style Transfer (SP)
|
100% |
820
1.05 IPS |
|
|
Style Transfer (HP)
|
100% |
812
1.04 IPS |
|
|
Style Transfer (Q)
|
98% |
1919
2.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
264
9.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
262
9.68 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
882
32.7 IPS |
|
|
Text Classification (SP)
|
100% |
333
444.7 IPS |
|
|
Text Classification (HP)
|
100% |
326
435.0 IPS |
|
|
Text Classification (Q)
|
91% |
530
712.1 IPS |
|
|
Machine Translation (SP)
|
100% |
553
9.52 IPS |
|
|
Machine Translation (HP)
|
100% |
542
9.34 IPS |
|
|
Machine Translation (Q)
|
57% |
427
10.4 IPS |
