iPad Air (4th generation)
Geekbench ML Score
575
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 07:11 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
356
38.1 IPS |
|
|
Image Classification (F16)
|
100% |
348
37.3 IPS |
|
|
Image Classification (I8)
|
81% |
767
82.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
391
2.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
465
2.87 IPS |
|
|
Image Segmentation (I8)
|
89% |
1238
7.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
259
1.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
176
0.71 IPS |
|
|
Pose Estimation (I8)
|
80% |
255
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
452
15.9 IPS |
|
|
Object Detection (F16)
|
100% |
620
21.8 IPS |
|
|
Object Detection (I8)
|
52% |
922
32.4 IPS |
|
|
Face Detection (F32)
|
100% |
736
8.46 IPS |
|
|
Face Detection (F16)
|
100% |
727
8.35 IPS |
|
|
Face Detection (I8)
|
75% |
932
10.7 IPS |
|
|
Text Classification (F32)
|
100% |
1210
478.6 IPS |
|
|
Text Classification (F16)
|
100% |
1190
470.5 IPS |
|
|
Machine Translation (F32)
|
100% |
766
118.0 IPS |
|
|
Machine Translation (F16)
|
100% |
769
118.5 IPS |
