iPad Air (5th generation)
Geekbench ML Score
295
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 23 2024 02:30 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3.1 |
| 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% |
1070
200.2 IPS |
|
|
Image Classification (F16)
|
100% |
970
181.4 IPS |
|
|
Image Classification (I8)
|
99% |
969
181.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
449
7.49 IPS |
|
|
Image Segmentation (F16)
|
100% |
412
6.87 IPS |
|
|
Image Segmentation (I8)
|
100% |
411
6.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
5515
6.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
11119
13.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11085
13.4 IPS |
|
|
Object Detection (F32)
|
100% |
1089
81.3 IPS |
|
|
Object Detection (F16)
|
100% |
1069
79.8 IPS |
|
|
Object Detection (I8)
|
97% |
1102
82.3 IPS |
|
|
Face Detection (F32)
|
100% |
2180
25.9 IPS |
|
|
Face Detection (F16)
|
100% |
1812
21.5 IPS |
|
|
Face Detection (I8)
|
99% |
1798
21.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3813
29.6 IPS |
|
|
Depth Estimation (F16)
|
99% |
4089
31.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
4086
31.7 IPS |
|
|
Style Transfer (F32)
|
100% |
10504
13.8 IPS |
|
|
Style Transfer (F16)
|
100% |
12511
16.5 IPS |
|
|
Style Transfer (I8)
|
100% |
12557
16.5 IPS |
|
|
Image Super-Resolution (F32)
|
0
|
||
|
Image Super-Resolution (F16)
|
0
|
||
|
Image Super-Resolution (I8)
|
100% |
2753
98.3 IPS |
|
|
Text Classification (F32)
|
0
|
||
|
Text Classification (F16)
|
0
|
||
|
Text Classification (I8)
|
0
|
||
|
Machine Translation (F32)
|
0
|
||
|
Machine Translation (F16)
|
0
|
||
|
Machine Translation (I8)
|
0
|
