iPad Air (4th generation)
Geekbench ML Score
2558
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 24 2023 10:05 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2 |
| Model | iPad Air (4th generation) |
| Model ID | iPad13,1 |
| Motherboard | J307AP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| 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 | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6009
643.9 IPS |
|
|
Image Classification (F16)
|
100% |
5990
641.8 IPS |
|
|
Image Classification (I8)
|
81% |
642
68.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2109
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2122
13.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1173
7.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
18171
73.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
18505
74.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
224
0.91 IPS |
|
|
Object Detection (F32)
|
100% |
6471
227.1 IPS |
|
|
Object Detection (F16)
|
100% |
6394
224.4 IPS |
|
|
Object Detection (I8)
|
52% |
909
31.9 IPS |
|
|
Face Detection (F32)
|
100% |
7464
85.8 IPS |
|
|
Face Detection (F16)
|
100% |
7419
85.2 IPS |
|
|
Face Detection (I8)
|
75% |
901
10.4 IPS |
|
|
Text Classification (F32)
|
100% |
1092
431.9 IPS |
|
|
Text Classification (F16)
|
100% |
1092
432.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1664
256.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1656
255.2 IPS |
