iPad Air (4th generation)
Geekbench ML Score
787
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 24 2023 10:36 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| 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% |
697
74.7 IPS |
|
|
Image Classification (F16)
|
100% |
679
72.8 IPS |
|
|
Image Classification (I8)
|
81% |
341
36.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1030
6.36 IPS |
|
|
Image Segmentation (F16)
|
100% |
1011
6.25 IPS |
|
|
Image Segmentation (I8)
|
89% |
1303
8.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
359
1.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
354
1.43 IPS |
|
|
Pose Estimation (I8)
|
80% |
452
1.83 IPS |
|
|
Object Detection (F32)
|
100% |
1005
35.3 IPS |
|
|
Object Detection (F16)
|
100% |
1034
36.3 IPS |
|
|
Object Detection (I8)
|
52% |
473
16.6 IPS |
|
|
Face Detection (F32)
|
100% |
1181
13.6 IPS |
|
|
Face Detection (F16)
|
100% |
1158
13.3 IPS |
|
|
Face Detection (I8)
|
75% |
699
8.03 IPS |
|
|
Text Classification (F32)
|
100% |
1066
421.5 IPS |
|
|
Text Classification (F16)
|
100% |
573
226.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1721
265.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1715
264.4 IPS |
