iPad mini (5th generation)
Geekbench ML Score
1434
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 22 2023 11:20 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| Model | iPad mini (5th generation) |
| Model ID | iPad11,2 |
| Motherboard | J211AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.85 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4139
443.4 IPS |
|
|
Image Classification (F16)
|
100% |
4141
443.7 IPS |
|
|
Image Classification (I8)
|
81% |
401
42.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1379
8.52 IPS |
|
|
Image Segmentation (F16)
|
100% |
1383
8.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
745
4.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
7048
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
7181
29.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
94% |
4380
153.7 IPS |
|
|
Object Detection (F16)
|
94% |
4362
153.1 IPS |
|
|
Object Detection (I8)
|
52% |
567
19.9 IPS |
|
|
Face Detection (F32)
|
67% |
3931
45.2 IPS |
|
|
Face Detection (F16)
|
67% |
4021
46.2 IPS |
|
|
Face Detection (I8)
|
75% |
544
6.25 IPS |
|
|
Text Classification (F32)
|
100% |
384
151.8 IPS |
|
|
Text Classification (F16)
|
100% |
380
150.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1003
154.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1002
154.4 IPS |
