iPad Air 2
Geekbench ML Score
250
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 19 2025 10:49 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.5 |
| Model | iPad Air 2 |
| Model ID | iPad5,4 |
| Motherboard | J82AP |
| CPU Information | |
|---|---|
| Name | Apple A8X |
| Topology | 1 Processor, 3 Cores |
| Identifier | ARM |
| Base Frequency | 1.50 GHz |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 2.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.94 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
165
17.7 IPS |
|
|
Image Classification (F16)
|
100% |
162
17.4 IPS |
|
|
Image Classification (I8)
|
81% |
316
33.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
278
1.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
298
1.84 IPS |
|
|
Image Segmentation (I8)
|
89% |
658
4.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
109
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
110
0.44 IPS |
|
|
Pose Estimation (I8)
|
80% |
134
0.54 IPS |
|
|
Object Detection (F32)
|
100% |
276
9.70 IPS |
|
|
Object Detection (F16)
|
100% |
282
9.90 IPS |
|
|
Object Detection (I8)
|
52% |
503
17.7 IPS |
|
|
Face Detection (F32)
|
100% |
352
4.04 IPS |
|
|
Face Detection (F16)
|
100% |
348
4.00 IPS |
|
|
Face Detection (I8)
|
75% |
486
5.59 IPS |
|
|
Text Classification (F32)
|
100% |
217
85.9 IPS |
|
|
Text Classification (F16)
|
100% |
223
88.4 IPS |
|
|
Machine Translation (F32)
|
100% |
211
32.6 IPS |
|
|
Machine Translation (F16)
|
100% |
210
32.4 IPS |
