iPad Air (5th generation)
Geekbench ML Score
759
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 21 2024 01:09 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| Model | iPad Air (5th generation) |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 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 | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
311
58.1 IPS |
|
|
Image Classification (F16)
|
100% |
537
100.5 IPS |
|
|
Image Classification (I8)
|
99% |
400
74.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
294
4.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
77
1.29 IPS |
|
|
Image Segmentation (I8)
|
100% |
150
2.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
743
0.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
2919
3.53 IPS |
|
|
Pose Estimation (I8)
|
100% |
1907
2.31 IPS |
|
|
Object Detection (F32)
|
100% |
155
11.5 IPS |
|
|
Object Detection (F16)
|
100% |
133
9.92 IPS |
|
|
Object Detection (I8)
|
97% |
192
14.3 IPS |
|
|
Face Detection (F32)
|
100% |
386
4.59 IPS |
|
|
Face Detection (F16)
|
100% |
776
9.23 IPS |
|
|
Face Detection (I8)
|
99% |
835
9.93 IPS |
|
|
Depth Estimation (F32)
|
100% |
3682
28.6 IPS |
|
|
Depth Estimation (F16)
|
99% |
2337
18.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
3087
23.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4735
6.23 IPS |
|
|
Style Transfer (F16)
|
100% |
7167
9.43 IPS |
|
|
Style Transfer (I8)
|
100% |
6852
9.01 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1830
65.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1369
48.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1842
65.8 IPS |
|
|
Text Classification (F32)
|
100% |
1173
1.69 KIPS |
|
|
Text Classification (F16)
|
100% |
566
813.1 IPS |
|
|
Text Classification (I8)
|
96% |
494
709.4 IPS |
|
|
Machine Translation (F32)
|
100% |
390
7.17 IPS |
|
|
Machine Translation (F16)
|
99% |
426
7.84 IPS |
|
|
Machine Translation (I8)
|
99% |
183
3.37 IPS |
