asus ASUS_AI2401_D
Geekbench AI Score
424
Single Precision Score
20750
Half Precision Score
50920
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | SoKaRaGi |
| Upload Date | March 27 2025 05:57 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
302
56.1 IPS |
|
|
Image Classification (HP)
|
100% |
16568
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
42897
8.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
10744
174.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
31429
511.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
496
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
76862
89.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
397795
465.6 IPS |
|
|
Object Detection (SP)
|
100% |
289
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
14805
1.17 KIPS |
|
|
Object Detection (Q)
|
86% |
18928
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
702
8.34 IPS |
|
|
Face Detection (HP)
|
100% |
33057
392.8 IPS |
|
|
Face Detection (Q)
|
97% |
128643
1.53 KIPS |
|
|
Depth Estimation (SP)
|
100% |
631
4.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
58962
454.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
117385
1.10 KIPS |
|
|
Style Transfer (SP)
|
100% |
1008
1.30 IPS |
|
|
Style Transfer (HP)
|
98% |
82401
106.3 IPS |
|
|
Style Transfer (Q)
|
98% |
420571
542.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
187
6.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39975
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104063
3.86 KIPS |
|
|
Text Classification (SP)
|
100% |
444
592.9 IPS |
|
|
Text Classification (HP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6946
9.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
542
9.33 IPS |
|
|
Machine Translation (HP)
|
100% |
3524
60.7 IPS |
|
|
Machine Translation (Q)
|
55% |
2515
65.9 IPS |
