iPad mini (6th generation)
Geekbench ML Score
2621
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 26 2022 04:00 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5642
604.5 IPS |
|
|
Image Classification (F16)
|
100% |
5656
606.0 IPS |
|
|
Image Classification (I8)
|
81% |
606
64.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1895
11.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1921
11.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1075
6.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
21055
85.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
20674
83.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
210
0.85 IPS |
|
|
Object Detection (F32)
|
100% |
7194
252.5 IPS |
|
|
Object Detection (F16)
|
100% |
7012
246.1 IPS |
|
|
Object Detection (I8)
|
52% |
873
30.6 IPS |
|
|
Face Detection (F32)
|
100% |
8327
95.7 IPS |
|
|
Face Detection (F16)
|
100% |
8368
96.1 IPS |
|
|
Face Detection (I8)
|
75% |
837
9.61 IPS |
|
|
Text Classification (F32)
|
100% |
1184
468.4 IPS |
|
|
Text Classification (F16)
|
100% |
1160
458.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1919
295.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1919
295.8 IPS |
