iPad Air (3rd generation)
Geekbench ML Score
745
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 07:57 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad Air (3rd generation) |
| Model ID | iPad11,4 |
| Motherboard | J218AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.84 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
367
68.7 IPS |
|
|
Image Classification (F16)
|
100% |
573
107.2 IPS |
|
|
Image Classification (I8)
|
99% |
575
107.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
240
4.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
297
4.95 IPS |
|
|
Image Segmentation (I8)
|
100% |
300
5.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
902
1.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
1249
1.51 IPS |
|
|
Pose Estimation (I8)
|
100% |
1286
1.56 IPS |
|
|
Object Detection (F32)
|
100% |
364
27.2 IPS |
|
|
Object Detection (F16)
|
100% |
649
48.5 IPS |
|
|
Object Detection (I8)
|
97% |
369
27.6 IPS |
|
|
Face Detection (F32)
|
100% |
765
9.10 IPS |
|
|
Face Detection (F16)
|
97% |
1509
17.9 IPS |
|
|
Face Detection (I8)
|
96% |
1506
17.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
867
6.73 IPS |
|
|
Depth Estimation (F16)
|
100% |
1692
13.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
1665
12.9 IPS |
|
|
Style Transfer (F32)
|
100% |
2502
3.29 IPS |
|
|
Style Transfer (F16)
|
100% |
4156
5.47 IPS |
|
|
Style Transfer (I8)
|
100% |
4344
5.71 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
650
23.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
944
33.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
970
34.7 IPS |
|
|
Text Classification (F32)
|
100% |
266
382.9 IPS |
|
|
Text Classification (F16)
|
100% |
523
751.1 IPS |
|
|
Text Classification (I8)
|
96% |
522
749.7 IPS |
|
|
Machine Translation (F32)
|
100% |
341
6.28 IPS |
|
|
Machine Translation (F16)
|
100% |
459
8.45 IPS |
|
|
Machine Translation (I8)
|
99% |
352
6.47 IPS |
