iPad Air (3rd generation)
Geekbench ML Score
1371
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | July 16 2022 06:42 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| Model | iPad Air (3rd generation) |
| Model ID | iPad11,3 |
| Motherboard | J217AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| 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 | TensorFlow Lite |
| Backend | Core ML |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3789
405.9 IPS |
|
|
Image Classification (F16)
|
100% |
3769
403.8 IPS |
|
|
Image Classification (I8)
|
81% |
401
42.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1384
8.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
1375
8.49 IPS |
|
|
Image Segmentation (I8)
|
89% |
745
4.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
7327
29.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
7176
29.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
94% |
4025
141.3 IPS |
|
|
Object Detection (F16)
|
94% |
4012
140.8 IPS |
|
|
Object Detection (I8)
|
52% |
565
19.8 IPS |
|
|
Face Detection (F32)
|
67% |
3750
43.1 IPS |
|
|
Face Detection (F16)
|
67% |
3733
42.9 IPS |
|
|
Face Detection (I8)
|
75% |
548
6.30 IPS |
|
|
Text Classification (F32)
|
100% |
312
123.5 IPS |
|
|
Text Classification (F16)
|
100% |
315
124.4 IPS |
|
|
Machine Translation (F32)
|
100% |
990
152.6 IPS |
|
|
Machine Translation (F16)
|
100% |
989
152.4 IPS |
