iPad Air 2
Geekbench ML Score
199
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 03 2023 05:25 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7.9 |
| 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% |
158
17.0 IPS |
|
|
Image Classification (F16)
|
100% |
151
16.2 IPS |
|
|
Image Classification (I8)
|
81% |
288
30.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
225
1.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
230
1.42 IPS |
|
|
Image Segmentation (I8)
|
89% |
507
3.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
87
0.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
85
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
95
0.39 IPS |
|
|
Object Detection (F32)
|
100% |
201
7.07 IPS |
|
|
Object Detection (F16)
|
100% |
199
6.98 IPS |
|
|
Object Detection (I8)
|
52% |
352
12.4 IPS |
|
|
Face Detection (F32)
|
100% |
271
3.11 IPS |
|
|
Face Detection (F16)
|
100% |
284
3.26 IPS |
|
|
Face Detection (I8)
|
75% |
385
4.42 IPS |
|
|
Text Classification (F32)
|
100% |
173
68.4 IPS |
|
|
Text Classification (F16)
|
100% |
170
67.2 IPS |
|
|
Machine Translation (F32)
|
100% |
182
28.0 IPS |
|
|
Machine Translation (F16)
|
100% |
183
28.3 IPS |
