iPad Air (4th generation)
Geekbench ML Score
2561
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 27 2024 05:00 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% |
1063
198.9 IPS |
|
|
Image Classification (F16)
|
100% |
1414
264.6 IPS |
|
|
Image Classification (I8)
|
99% |
1428
267.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
469
7.83 IPS |
|
|
Image Segmentation (F16)
|
100% |
485
8.10 IPS |
|
|
Image Segmentation (I8)
|
100% |
481
8.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
4717
5.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
10360
12.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
10867
13.2 IPS |
|
|
Object Detection (F32)
|
100% |
1101
82.2 IPS |
|
|
Object Detection (F16)
|
100% |
1495
111.6 IPS |
|
|
Object Detection (I8)
|
97% |
1108
82.7 IPS |
|
|
Face Detection (F32)
|
100% |
1629
19.4 IPS |
|
|
Face Detection (F16)
|
97% |
3291
39.1 IPS |
|
|
Face Detection (I8)
|
97% |
3221
38.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4376
33.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
7042
54.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
7054
54.7 IPS |
|
|
Style Transfer (F32)
|
100% |
13197
17.4 IPS |
|
|
Style Transfer (F16)
|
100% |
21442
28.2 IPS |
|
|
Style Transfer (I8)
|
100% |
21270
28.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2988
106.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4284
153.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4273
152.6 IPS |
|
|
Text Classification (F32)
|
100% |
1920
2.76 KIPS |
|
|
Text Classification (F16)
|
100% |
3091
4.44 KIPS |
|
|
Text Classification (I8)
|
96% |
3130
4.50 KIPS |
|
|
Machine Translation (F32)
|
100% |
670
12.3 IPS |
|
|
Machine Translation (F16)
|
100% |
768
14.1 IPS |
|
|
Machine Translation (I8)
|
99% |
670
12.3 IPS |
