iPad Air (5th generation)
Geekbench ML Score
2981
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 11:11 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
1282
239.9 IPS |
|
|
Image Classification (F16)
|
100% |
1660
310.6 IPS |
|
|
Image Classification (I8)
|
99% |
1663
311.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
594
9.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
595
9.93 IPS |
|
|
Image Segmentation (I8)
|
100% |
590
9.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
5622
6.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
12968
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12964
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1265
94.5 IPS |
|
|
Object Detection (F16)
|
100% |
1665
124.3 IPS |
|
|
Object Detection (I8)
|
97% |
1264
94.4 IPS |
|
|
Face Detection (F32)
|
100% |
2380
28.3 IPS |
|
|
Face Detection (F16)
|
97% |
3970
47.2 IPS |
|
|
Face Detection (I8)
|
97% |
3977
47.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5158
40.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8078
62.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
8097
62.8 IPS |
|
|
Style Transfer (F32)
|
100% |
15626
20.6 IPS |
|
|
Style Transfer (F16)
|
100% |
24337
32.0 IPS |
|
|
Style Transfer (I8)
|
100% |
24267
31.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3469
123.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4541
162.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4527
161.7 IPS |
|
|
Text Classification (F32)
|
100% |
2122
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3406
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3384
4.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
723
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
862
15.9 IPS |
|
|
Machine Translation (I8)
|
99% |
724
13.3 IPS |
