iPad Air (4th generation)
Geekbench ML Score
581
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 07:10 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% |
387
41.4 IPS |
|
|
Image Classification (F16)
|
100% |
385
41.2 IPS |
|
|
Image Classification (I8)
|
81% |
794
85.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
490
3.03 IPS |
|
|
Image Segmentation (F16)
|
100% |
481
2.97 IPS |
|
|
Image Segmentation (I8)
|
89% |
1227
7.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
235
0.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
260
1.05 IPS |
|
|
Pose Estimation (I8)
|
80% |
354
1.43 IPS |
|
|
Object Detection (F32)
|
100% |
533
18.7 IPS |
|
|
Object Detection (F16)
|
100% |
541
19.0 IPS |
|
|
Object Detection (I8)
|
52% |
906
31.8 IPS |
|
|
Face Detection (F32)
|
100% |
664
7.63 IPS |
|
|
Face Detection (F16)
|
100% |
638
7.34 IPS |
|
|
Face Detection (I8)
|
75% |
856
9.83 IPS |
|
|
Text Classification (F32)
|
100% |
576
227.8 IPS |
|
|
Text Classification (F16)
|
100% |
1244
492.2 IPS |
|
|
Machine Translation (F32)
|
100% |
790
121.7 IPS |
|
|
Machine Translation (F16)
|
100% |
849
130.8 IPS |
