iPad Air (5th generation)
Geekbench ML Score
798
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 21 2024 01:02 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% |
994
186.0 IPS |
|
|
Image Classification (F16)
|
100% |
450
84.2 IPS |
|
|
Image Classification (I8)
|
99% |
539
100.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
287
4.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
263
4.39 IPS |
|
|
Image Segmentation (I8)
|
100% |
176
2.94 IPS |
|
|
Pose Estimation (F32)
|
100% |
2932
3.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
5887
7.13 IPS |
|
|
Pose Estimation (I8)
|
100% |
3190
3.86 IPS |
|
|
Object Detection (F32)
|
100% |
500
37.3 IPS |
|
|
Object Detection (F16)
|
100% |
591
44.1 IPS |
|
|
Object Detection (I8)
|
97% |
391
29.2 IPS |
|
|
Face Detection (F32)
|
100% |
853
10.1 IPS |
|
|
Face Detection (F16)
|
100% |
801
9.52 IPS |
|
|
Face Detection (I8)
|
99% |
618
7.35 IPS |
|
|
Depth Estimation (F32)
|
100% |
1547
12.0 IPS |
|
|
Depth Estimation (F16)
|
99% |
1692
13.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
2329
18.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4574
6.02 IPS |
|
|
Style Transfer (F16)
|
100% |
6889
9.06 IPS |
|
|
Style Transfer (I8)
|
100% |
5059
6.66 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
221
7.89 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1374
49.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1385
49.4 IPS |
|
|
Text Classification (F32)
|
100% |
194
278.2 IPS |
|
|
Text Classification (F16)
|
100% |
222
318.9 IPS |
|
|
Text Classification (I8)
|
96% |
94
135.7 IPS |
|
|
Machine Translation (F32)
|
100% |
504
9.28 IPS |
|
|
Machine Translation (F16)
|
99% |
414
7.61 IPS |
|
|
Machine Translation (I8)
|
99% |
400
7.37 IPS |
