MEDIACOM SmartPad iyo8
Geekbench AI Score
49
Single Precision Score
69
Half Precision Score
67
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 12:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
37
6.90 IPS |
|
|
Image Classification (HP)
|
100% |
61
11.4 IPS |
|
|
Image Classification (Q)
|
99% |
59
11.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
47
0.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
75
1.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
72
1.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
29
0.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
42
0.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
41
0.05 IPS |
|
|
Object Detection (SP)
|
100% |
30
2.37 IPS |
|
|
Object Detection (HP)
|
100% |
50
4.00 IPS |
|
|
Object Detection (Q)
|
83% |
49
4.00 IPS |
|
|
Face Detection (SP)
|
100% |
120
1.42 IPS |
|
|
Face Detection (HP)
|
100% |
180
2.14 IPS |
|
|
Face Detection (Q)
|
97% |
170
2.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
61
0.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
88
0.68 IPS |
|
|
Depth Estimation (Q)
|
62% |
71
0.67 IPS |
|
|
Style Transfer (SP)
|
100% |
128
0.16 IPS |
|
|
Style Transfer (HP)
|
100% |
189
0.24 IPS |
|
|
Style Transfer (Q)
|
98% |
188
0.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33
1.22 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54
2.01 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
54
1.99 IPS |
|
|
Text Classification (SP)
|
100% |
32
42.7 IPS |
|
|
Text Classification (HP)
|
100% |
31
42.0 IPS |
|
|
Text Classification (Q)
|
91% |
45
60.6 IPS |
|
|
Machine Translation (SP)
|
100% |
56
0.96 IPS |
|
|
Machine Translation (HP)
|
100% |
55
0.95 IPS |
|
|
Machine Translation (Q)
|
57% |
42
1.02 IPS |
