iPad mini (6th generation)
Geekbench ML Score
1857
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 26 2022 03:59 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,2 |
| Motherboard | J311AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.92 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.78 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2216
237.5 IPS |
|
|
Image Classification (F16)
|
100% |
2226
238.5 IPS |
|
|
Image Classification (I8)
|
81% |
615
65.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
5435
33.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
7340
45.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
1054
6.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
1855
7.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
4675
18.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
207
0.84 IPS |
|
|
Object Detection (F32)
|
100% |
1776
62.3 IPS |
|
|
Object Detection (F16)
|
100% |
2532
88.8 IPS |
|
|
Object Detection (I8)
|
52% |
870
30.5 IPS |
|
|
Face Detection (F32)
|
100% |
5009
57.5 IPS |
|
|
Face Detection (F16)
|
97% |
8768
100.7 IPS |
|
|
Face Detection (I8)
|
75% |
777
8.93 IPS |
|
|
Text Classification (F32)
|
100% |
1017
402.4 IPS |
|
|
Text Classification (F16)
|
100% |
1134
448.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1909
294.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1907
293.9 IPS |
