iPad Air (4th generation)
Geekbench ML Score
2601
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 05:51 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1091
204.1 IPS |
|
|
Image Classification (F16)
|
100% |
1441
269.7 IPS |
|
|
Image Classification (I8)
|
99% |
1436
268.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
476
7.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
484
8.09 IPS |
|
|
Image Segmentation (I8)
|
100% |
487
8.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
5104
6.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
11560
14.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
11577
14.0 IPS |
|
|
Object Detection (F32)
|
100% |
1118
83.4 IPS |
|
|
Object Detection (F16)
|
100% |
1503
112.2 IPS |
|
|
Object Detection (I8)
|
97% |
1119
83.6 IPS |
|
|
Face Detection (F32)
|
100% |
1817
21.6 IPS |
|
|
Face Detection (F16)
|
97% |
3421
40.7 IPS |
|
|
Face Detection (I8)
|
97% |
3414
40.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4500
34.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
7077
54.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
7072
54.8 IPS |
|
|
Style Transfer (F32)
|
100% |
13483
17.7 IPS |
|
|
Style Transfer (F16)
|
100% |
21507
28.3 IPS |
|
|
Style Transfer (I8)
|
100% |
21534
28.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3086
110.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4144
148.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4108
146.7 IPS |
|
|
Text Classification (F32)
|
100% |
1856
2.67 KIPS |
|
|
Text Classification (F16)
|
100% |
3115
4.48 KIPS |
|
|
Text Classification (I8)
|
96% |
3097
4.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
642
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
767
14.1 IPS |
|
|
Machine Translation (I8)
|
99% |
639
11.8 IPS |
