iPad Air 2
Geekbench ML Score
160
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | radovan787 |
| Upload Date | November 23 2025 10:10 PM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.4 |
| Model | iPad Air 2 |
| Model ID | iPad5,3 |
| Motherboard | J81AP |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
165
17.7 IPS |
|
|
Image Classification (F16)
|
100% |
163
17.5 IPS |
|
|
Image Classification (I8)
|
81% |
148
15.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
225
1.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
226
1.40 IPS |
|
|
Image Segmentation (I8)
|
89% |
276
1.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
69
0.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
69
0.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
52
0.21 IPS |
|
|
Object Detection (F32)
|
100% |
248
8.71 IPS |
|
|
Object Detection (F16)
|
100% |
243
8.54 IPS |
|
|
Object Detection (I8)
|
52% |
210
7.37 IPS |
|
|
Face Detection (F32)
|
100% |
271
3.12 IPS |
|
|
Face Detection (F16)
|
100% |
272
3.13 IPS |
|
|
Face Detection (I8)
|
75% |
204
2.34 IPS |
|
|
Text Classification (F32)
|
98% |
95
37.6 IPS |
|
|
Text Classification (F16)
|
98% |
96
37.9 IPS |
|
|
Machine Translation (F32)
|
100% |
187
28.9 IPS |
|
|
Machine Translation (F16)
|
100% |
189
29.2 IPS |
