MEDIACOM SmartPad iyo8
Geekbench AI Score
167
Single Precision Score
167
Half Precision Score
192
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 09:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | MEDIACOM SmartPad iyo8 |
| Model ID | MEDIACOM SmartPad iyo8 |
| Motherboard | rk30sdk |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 2.87 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
75
14.0 IPS |
|
|
Image Classification (HP)
|
100% |
78
14.4 IPS |
|
|
Image Classification (Q)
|
100% |
120
22.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
111
1.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
112
1.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
193
3.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
404
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
389
0.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
287
0.34 IPS |
|
|
Object Detection (SP)
|
100% |
83
6.58 IPS |
|
|
Object Detection (HP)
|
100% |
84
6.68 IPS |
|
|
Object Detection (Q)
|
83% |
130
10.5 IPS |
|
|
Face Detection (SP)
|
100% |
204
2.42 IPS |
|
|
Face Detection (HP)
|
100% |
206
2.44 IPS |
|
|
Face Detection (Q)
|
95% |
346
4.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
277
2.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
267
2.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
284
2.60 IPS |
|
|
Style Transfer (SP)
|
89% |
658
0.85 IPS |
|
|
Style Transfer (HP)
|
89% |
654
0.85 IPS |
|
|
Style Transfer (Q)
|
98% |
663
0.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
141
5.22 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
143
5.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
164
6.07 IPS |
|
|
Text Classification (SP)
|
100% |
90
119.8 IPS |
|
|
Text Classification (HP)
|
100% |
84
112.1 IPS |
|
|
Text Classification (Q)
|
88% |
106
143.0 IPS |
|
|
Machine Translation (SP)
|
100% |
129
2.21 IPS |
|
|
Machine Translation (HP)
|
100% |
138
2.37 IPS |
|
|
Machine Translation (Q)
|
50% |
73
2.59 IPS |
