iPad Air (4th generation)
Geekbench ML Score
4353
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 12:45 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPad Air (4th generation) |
| Model ID | iPad13,2 |
| Motherboard | J308AP |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
932
174.4 IPS |
|
|
Image Classification (F16)
|
100% |
4053
758.4 IPS |
|
|
Image Classification (I8)
|
99% |
4583
857.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
531
8.86 IPS |
|
|
Image Segmentation (F16)
|
100% |
3148
52.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
3335
55.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6072
7.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
56728
68.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
58676
71.1 IPS |
|
|
Object Detection (F32)
|
100% |
1123
83.8 IPS |
|
|
Object Detection (F16)
|
100% |
3454
257.9 IPS |
|
|
Object Detection (I8)
|
97% |
1115
83.2 IPS |
|
|
Face Detection (F32)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (F16)
|
97% |
10268
122.1 IPS |
|
|
Face Detection (I8)
|
96% |
10292
122.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5420
42.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
32313
250.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
35105
272.2 IPS |
|
|
Style Transfer (F32)
|
100% |
11629
15.3 IPS |
|
|
Style Transfer (F16)
|
100% |
91748
120.7 IPS |
|
|
Style Transfer (I8)
|
100% |
94687
124.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2734
97.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15162
541.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14910
532.5 IPS |
|
|
Text Classification (F32)
|
100% |
245
351.8 IPS |
|
|
Text Classification (F16)
|
100% |
711
1.02 KIPS |
|
|
Text Classification (I8)
|
96% |
309
444.5 IPS |
|
|
Machine Translation (F32)
|
100% |
494
9.09 IPS |
|
|
Machine Translation (F16)
|
100% |
974
17.9 IPS |
|
|
Machine Translation (I8)
|
99% |
517
9.51 IPS |
