iPad Air (4th generation)
Geekbench ML Score
767
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2022 08:36 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| 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% |
610
65.3 IPS |
|
|
Image Classification (F16)
|
100% |
600
64.3 IPS |
|
|
Image Classification (I8)
|
81% |
414
44.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
959
5.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
952
5.88 IPS |
|
|
Image Segmentation (I8)
|
89% |
1386
8.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
381
1.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
374
1.51 IPS |
|
|
Pose Estimation (I8)
|
80% |
453
1.83 IPS |
|
|
Object Detection (F32)
|
100% |
939
32.9 IPS |
|
|
Object Detection (F16)
|
100% |
623
21.9 IPS |
|
|
Object Detection (I8)
|
52% |
542
19.0 IPS |
|
|
Face Detection (F32)
|
100% |
803
9.22 IPS |
|
|
Face Detection (F16)
|
100% |
853
9.80 IPS |
|
|
Face Detection (I8)
|
75% |
711
8.17 IPS |
|
|
Text Classification (F32)
|
100% |
1067
421.8 IPS |
|
|
Text Classification (F16)
|
100% |
1314
519.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1469
226.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1682
259.2 IPS |
