iPad Air 2
Geekbench ML Score
327
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 01 2026 04:40 AM |
| Views | 6 |
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% |
499
53.4 IPS |
|
|
Image Classification (F16)
|
100% |
521
55.8 IPS |
|
|
Image Classification (I8)
|
81% |
107
11.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
888
5.49 IPS |
|
|
Image Segmentation (F16)
|
100% |
1131
6.98 IPS |
|
|
Image Segmentation (I8)
|
89% |
213
1.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
319
1.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
547
2.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
39
0.16 IPS |
|
|
Object Detection (F32)
|
100% |
510
17.9 IPS |
|
|
Object Detection (F16)
|
100% |
664
23.3 IPS |
|
|
Object Detection (I8)
|
52% |
153
5.36 IPS |
|
|
Face Detection (F32)
|
100% |
784
9.00 IPS |
|
|
Face Detection (F16)
|
97% |
1137
13.1 IPS |
|
|
Face Detection (I8)
|
75% |
144
1.66 IPS |
|
|
Text Classification (F32)
|
100% |
312
123.4 IPS |
|
|
Text Classification (F16)
|
98% |
364
144.1 IPS |
|
|
Machine Translation (F32)
|
100% |
141
21.7 IPS |
|
|
Machine Translation (F16)
|
100% |
139
21.5 IPS |
