iPad Air (4th generation)
Geekbench ML Score
2356
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 11 2021 04:09 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPad Air (4th generation) |
| Model ID | iPad13,1 |
| Motherboard | J307AP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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% |
4854
520.0 IPS |
|
|
Image Classification (F16)
|
100% |
4742
508.1 IPS |
|
|
Image Classification (I8)
|
81% |
647
69.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1808
11.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1807
11.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1186
7.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
16587
67.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
18001
72.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
224
0.91 IPS |
|
|
Object Detection (F32)
|
100% |
6147
215.7 IPS |
|
|
Object Detection (F16)
|
100% |
6237
218.9 IPS |
|
|
Object Detection (I8)
|
52% |
913
32.0 IPS |
|
|
Face Detection (F32)
|
100% |
6002
69.0 IPS |
|
|
Face Detection (F16)
|
100% |
6005
69.0 IPS |
|
|
Face Detection (I8)
|
75% |
900
10.3 IPS |
|
|
Text Classification (F32)
|
100% |
971
384.0 IPS |
|
|
Text Classification (F16)
|
100% |
962
380.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1710
263.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1693
260.9 IPS |
