asus ASUS_AI2401_D
Geekbench AI Score
463
Single Precision Score
452
Half Precision Score
1084
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | SoKaRaGi |
| Upload Date | March 27 2025 05:51 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 14.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
297
55.2 IPS |
|
|
Image Classification (HP)
|
100% |
296
55.0 IPS |
|
|
Image Classification (Q)
|
99% |
785
146.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
769
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
505
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
496
0.58 IPS |
|
|
Pose Estimation (Q)
|
98% |
1911
2.24 IPS |
|
|
Object Detection (SP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (Q)
|
87% |
815
65.4 IPS |
|
|
Face Detection (SP)
|
100% |
693
8.23 IPS |
|
|
Face Detection (HP)
|
100% |
696
8.27 IPS |
|
|
Face Detection (Q)
|
97% |
1660
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
624
4.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
624
4.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
1480
13.4 IPS |
|
|
Style Transfer (SP)
|
100% |
998
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
995
1.28 IPS |
|
|
Style Transfer (Q)
|
98% |
2467
3.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
270
9.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
203
7.49 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1038
38.5 IPS |
|
|
Text Classification (SP)
|
100% |
401
534.8 IPS |
|
|
Text Classification (HP)
|
100% |
404
539.4 IPS |
|
|
Text Classification (Q)
|
91% |
674
905.5 IPS |
|
|
Machine Translation (SP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
640
11.0 IPS |
|
|
Machine Translation (Q)
|
57% |
567
13.9 IPS |
