iPad Air (4th generation)
Geekbench ML Score
2559
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 10 2024 01:03 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 |
| 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% |
1085
203.0 IPS |
|
|
Image Classification (F16)
|
100% |
1433
268.2 IPS |
|
|
Image Classification (I8)
|
99% |
1432
268.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
465
7.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
482
8.05 IPS |
|
|
Image Segmentation (I8)
|
100% |
498
8.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
5082
6.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
11518
13.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
11502
13.9 IPS |
|
|
Object Detection (F32)
|
100% |
1114
83.1 IPS |
|
|
Object Detection (F16)
|
100% |
1494
111.5 IPS |
|
|
Object Detection (I8)
|
97% |
1100
82.1 IPS |
|
|
Face Detection (F32)
|
100% |
1736
20.6 IPS |
|
|
Face Detection (F16)
|
97% |
3335
39.7 IPS |
|
|
Face Detection (I8)
|
97% |
3359
39.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4447
34.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
7059
54.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
7069
54.8 IPS |
|
|
Style Transfer (F32)
|
100% |
13412
17.6 IPS |
|
|
Style Transfer (F16)
|
100% |
21482
28.3 IPS |
|
|
Style Transfer (I8)
|
100% |
21481
28.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3044
108.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4126
147.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4109
146.7 IPS |
|
|
Text Classification (F32)
|
100% |
1863
2.68 KIPS |
|
|
Text Classification (F16)
|
100% |
2747
3.95 KIPS |
|
|
Text Classification (I8)
|
96% |
2725
3.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
628
11.6 IPS |
|
|
Machine Translation (F16)
|
100% |
760
14.0 IPS |
|
|
Machine Translation (I8)
|
99% |
626
11.5 IPS |
