iPad Air (4th generation)
Geekbench ML Score
4352
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 06:07 AM |
| Views | 2 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
927
173.4 IPS |
|
|
Image Classification (F16)
|
100% |
4021
752.4 IPS |
|
|
Image Classification (I8)
|
99% |
4530
847.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
495
8.26 IPS |
|
|
Image Segmentation (F16)
|
100% |
3075
51.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
3072
51.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6075
7.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
56609
68.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
58325
70.6 IPS |
|
|
Object Detection (F32)
|
100% |
1163
86.9 IPS |
|
|
Object Detection (F16)
|
100% |
3578
267.1 IPS |
|
|
Object Detection (I8)
|
97% |
1104
82.4 IPS |
|
|
Face Detection (F32)
|
100% |
3235
38.5 IPS |
|
|
Face Detection (F16)
|
97% |
10233
121.7 IPS |
|
|
Face Detection (I8)
|
96% |
10141
120.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5384
41.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
31826
246.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
38042
295.0 IPS |
|
|
Style Transfer (F32)
|
100% |
11664
15.3 IPS |
|
|
Style Transfer (F16)
|
100% |
92135
121.2 IPS |
|
|
Style Transfer (I8)
|
100% |
95749
125.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2825
100.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14787
528.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14609
521.8 IPS |
|
|
Text Classification (F32)
|
100% |
244
350.0 IPS |
|
|
Text Classification (F16)
|
100% |
794
1.14 KIPS |
|
|
Text Classification (I8)
|
96% |
313
449.2 IPS |
|
|
Machine Translation (F32)
|
100% |
496
9.12 IPS |
|
|
Machine Translation (F16)
|
100% |
970
17.9 IPS |
|
|
Machine Translation (I8)
|
99% |
497
9.14 IPS |
