iPad Air 2
Geekbench ML Score
274
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 01 2026 10:50 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.6 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
490
52.5 IPS |
|
|
Image Classification (F16)
|
100% |
207
22.2 IPS |
|
|
Image Classification (I8)
|
81% |
84
8.95 IPS |
|
|
Image Segmentation (F32)
|
100% |
769
4.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
962
5.94 IPS |
|
|
Image Segmentation (I8)
|
89% |
144
0.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
282
1.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
500
2.02 IPS |
|
|
Pose Estimation (I8)
|
80% |
27
0.11 IPS |
|
|
Object Detection (F32)
|
100% |
342
12.0 IPS |
|
|
Object Detection (F16)
|
100% |
515
18.1 IPS |
|
|
Object Detection (I8)
|
52% |
108
3.78 IPS |
|
|
Face Detection (F32)
|
100% |
820
9.42 IPS |
|
|
Face Detection (F16)
|
97% |
831
9.55 IPS |
|
|
Face Detection (I8)
|
75% |
103
1.18 IPS |
|
|
Text Classification (F32)
|
100% |
325
128.7 IPS |
|
|
Text Classification (F16)
|
98% |
376
148.6 IPS |
|
|
Machine Translation (F32)
|
100% |
199
30.7 IPS |
|
|
Machine Translation (F16)
|
100% |
196
30.2 IPS |
