iPad Air (4th generation)
Geekbench ML Score
878
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 11 2021 04:01 AM |
| Views | 1 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
609
65.3 IPS |
|
|
Image Classification (F16)
|
100% |
597
64.0 IPS |
|
|
Image Classification (I8)
|
81% |
430
46.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
953
5.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
934
5.77 IPS |
|
|
Image Segmentation (I8)
|
89% |
1390
8.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
359
1.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
353
1.43 IPS |
|
|
Pose Estimation (I8)
|
80% |
435
1.76 IPS |
|
|
Object Detection (F32)
|
100% |
887
31.1 IPS |
|
|
Object Detection (F16)
|
100% |
890
31.2 IPS |
|
|
Object Detection (I8)
|
52% |
729
25.6 IPS |
|
|
Face Detection (F32)
|
100% |
1082
12.4 IPS |
|
|
Face Detection (F16)
|
100% |
1063
12.2 IPS |
|
|
Face Detection (I8)
|
75% |
812
9.32 IPS |
|
|
Text Classification (F32)
|
100% |
2329
921.3 IPS |
|
|
Text Classification (F16)
|
100% |
2262
894.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1681
259.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1677
258.4 IPS |
