iPad Air (4th generation)
Geekbench ML Score
918
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | May 01 2025 04:45 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
662
70.9 IPS |
|
|
Image Classification (F16)
|
100% |
645
69.2 IPS |
|
|
Image Classification (I8)
|
81% |
423
45.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1007
6.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
1005
6.21 IPS |
|
|
Image Segmentation (I8)
|
89% |
1400
8.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
386
1.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
380
1.54 IPS |
|
|
Pose Estimation (I8)
|
80% |
461
1.87 IPS |
|
|
Object Detection (F32)
|
100% |
991
34.8 IPS |
|
|
Object Detection (F16)
|
100% |
1007
35.3 IPS |
|
|
Object Detection (I8)
|
52% |
718
25.2 IPS |
|
|
Face Detection (F32)
|
100% |
1146
13.2 IPS |
|
|
Face Detection (F16)
|
100% |
1131
13.0 IPS |
|
|
Face Detection (I8)
|
75% |
822
9.45 IPS |
|
|
Text Classification (F32)
|
100% |
2382
942.3 IPS |
|
|
Text Classification (F16)
|
100% |
2355
931.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1646
253.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1647
253.9 IPS |
