iPad Air (4th generation)
Geekbench ML Score
903
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 05 2021 04:15 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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% |
615
65.9 IPS |
|
|
Image Classification (F16)
|
100% |
613
65.7 IPS |
|
|
Image Classification (I8)
|
81% |
410
43.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
982
6.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
977
6.03 IPS |
|
|
Image Segmentation (I8)
|
89% |
1386
8.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
399
1.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
390
1.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
468
1.90 IPS |
|
|
Object Detection (F32)
|
100% |
965
33.9 IPS |
|
|
Object Detection (F16)
|
100% |
974
34.2 IPS |
|
|
Object Detection (I8)
|
52% |
718
25.2 IPS |
|
|
Face Detection (F32)
|
100% |
1109
12.7 IPS |
|
|
Face Detection (F16)
|
100% |
1098
12.6 IPS |
|
|
Face Detection (I8)
|
75% |
817
9.39 IPS |
|
|
Text Classification (F32)
|
100% |
2313
915.0 IPS |
|
|
Text Classification (F16)
|
100% |
2319
917.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1645
253.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1651
254.4 IPS |
