iPad Air (4th generation)
Geekbench ML Score
1533
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 09 2024 10:39 AM |
| Views | 2 |
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 |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| 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 | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
747
139.7 IPS |
|
|
Image Classification (F16)
|
100% |
774
144.9 IPS |
|
|
Image Classification (I8)
|
99% |
772
144.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
360
6.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
346
5.79 IPS |
|
|
Image Segmentation (I8)
|
100% |
345
5.77 IPS |
|
|
Pose Estimation (F32)
|
100% |
4965
6.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
8882
10.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
8852
10.7 IPS |
|
|
Object Detection (F32)
|
100% |
827
61.7 IPS |
|
|
Object Detection (F16)
|
100% |
893
66.7 IPS |
|
|
Object Detection (I8)
|
97% |
825
61.6 IPS |
|
|
Face Detection (F32)
|
100% |
1368
16.3 IPS |
|
|
Face Detection (F16)
|
100% |
1356
16.1 IPS |
|
|
Face Detection (I8)
|
99% |
1353
16.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2977
23.1 IPS |
|
|
Depth Estimation (F16)
|
99% |
3344
25.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
3332
25.8 IPS |
|
|
Style Transfer (F32)
|
100% |
9141
12.0 IPS |
|
|
Style Transfer (F16)
|
100% |
10822
14.2 IPS |
|
|
Style Transfer (I8)
|
100% |
10836
14.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2444
87.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2299
82.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2311
82.5 IPS |
|
|
Text Classification (F32)
|
100% |
792
1.14 KIPS |
|
|
Text Classification (F16)
|
100% |
513
737.3 IPS |
|
|
Text Classification (I8)
|
96% |
505
726.0 IPS |
|
|
Machine Translation (F32)
|
100% |
647
11.9 IPS |
|
|
Machine Translation (F16)
|
99% |
815
15.0 IPS |
|
|
Machine Translation (I8)
|
99% |
646
11.9 IPS |
