iPad Air (4th generation)
Geekbench ML Score
1532
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 27 2024 07:19 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3.1 |
| Model | iPad Air (4th generation) |
| Model ID | iPad13,2 |
| Motherboard | J308AP |
| 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% |
761
142.4 IPS |
|
|
Image Classification (F16)
|
100% |
769
143.9 IPS |
|
|
Image Classification (I8)
|
99% |
768
143.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
360
6.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
344
5.75 IPS |
|
|
Image Segmentation (I8)
|
100% |
344
5.74 IPS |
|
|
Pose Estimation (F32)
|
100% |
4966
6.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
8913
10.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
8875
10.7 IPS |
|
|
Object Detection (F32)
|
100% |
821
61.3 IPS |
|
|
Object Detection (F16)
|
100% |
882
65.9 IPS |
|
|
Object Detection (I8)
|
97% |
826
61.6 IPS |
|
|
Face Detection (F32)
|
100% |
1366
16.2 IPS |
|
|
Face Detection (F16)
|
100% |
1352
16.1 IPS |
|
|
Face Detection (I8)
|
99% |
1341
15.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3009
23.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
3361
26.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
3372
26.2 IPS |
|
|
Style Transfer (F32)
|
100% |
9116
12.0 IPS |
|
|
Style Transfer (F16)
|
100% |
10740
14.1 IPS |
|
|
Style Transfer (I8)
|
100% |
10761
14.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2453
87.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2313
82.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2317
82.7 IPS |
|
|
Text Classification (F32)
|
100% |
807
1.16 KIPS |
|
|
Text Classification (F16)
|
100% |
517
743.1 IPS |
|
|
Text Classification (I8)
|
96% |
506
727.1 IPS |
|
|
Machine Translation (F32)
|
100% |
639
11.8 IPS |
|
|
Machine Translation (F16)
|
99% |
800
14.7 IPS |
|
|
Machine Translation (I8)
|
99% |
639
11.8 IPS |
