asus ASUS_AI2401_D
Geekbench AI Score
2823
Single Precision Score
2841
Half Precision Score
4476
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 06:04 AM |
| Views | 2 |
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 | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1908
354.8 IPS |
|
|
Image Classification (HP)
|
100% |
2390
444.6 IPS |
|
|
Image Classification (Q)
|
100% |
3633
675.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2566
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2581
41.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4074
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4417
5.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
4218
4.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
9485
11.2 IPS |
|
|
Object Detection (SP)
|
98% |
2117
168.5 IPS |
|
|
Object Detection (HP)
|
98% |
2159
171.8 IPS |
|
|
Object Detection (Q)
|
83% |
3349
270.5 IPS |
|
|
Face Detection (SP)
|
100% |
4212
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
4063
48.3 IPS |
|
|
Face Detection (Q)
|
95% |
7438
88.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
4268
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4207
32.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
7094
65.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9897
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9757
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19256
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2163
79.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2091
77.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5053
187.3 IPS |
|
|
Text Classification (SP)
|
100% |
1015
1.35 KIPS |
|
|
Text Classification (HP)
|
99% |
1025
1.37 KIPS |
|
|
Text Classification (Q)
|
88% |
1470
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1801
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1710
29.5 IPS |
|
|
Machine Translation (Q)
|
50% |
911
32.3 IPS |
