AvidPad A90
Geekbench AI Score
141
Single Precision Score
190
Half Precision Score
183
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 19 2025 05:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | AvidPad A90 |
| Model ID | AvidPad A90 |
| Motherboard | tb8781p1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
99
18.4 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.8 IPS |
|
|
Image Classification (Q)
|
99% |
160
29.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
107
1.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
168
2.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
93
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
109
0.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
108
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
77
6.11 IPS |
|
|
Object Detection (HP)
|
100% |
100
7.96 IPS |
|
|
Object Detection (Q)
|
83% |
96
7.73 IPS |
|
|
Face Detection (SP)
|
100% |
201
2.39 IPS |
|
|
Face Detection (HP)
|
100% |
341
4.06 IPS |
|
|
Face Detection (Q)
|
97% |
293
3.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
175
1.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
229
1.77 IPS |
|
|
Depth Estimation (Q)
|
62% |
185
1.75 IPS |
|
|
Style Transfer (SP)
|
100% |
352
0.45 IPS |
|
|
Style Transfer (HP)
|
100% |
489
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
487
0.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
89
3.30 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
137
5.07 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
136
5.02 IPS |
|
|
Text Classification (SP)
|
100% |
152
203.5 IPS |
|
|
Text Classification (HP)
|
100% |
151
201.6 IPS |
|
|
Text Classification (Q)
|
91% |
251
337.1 IPS |
|
|
Machine Translation (SP)
|
100% |
252
4.35 IPS |
|
|
Machine Translation (HP)
|
100% |
253
4.35 IPS |
|
|
Machine Translation (Q)
|
57% |
172
4.21 IPS |
