iPad Air 2
Geekbench ML Score
258
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 14 2024 09:38 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| 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% |
167
17.9 IPS |
|
|
Image Classification (F16)
|
100% |
168
18.0 IPS |
|
|
Image Classification (I8)
|
81% |
376
40.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
299
1.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
301
1.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
670
4.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
113
0.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
113
0.46 IPS |
|
|
Pose Estimation (I8)
|
80% |
137
0.55 IPS |
|
|
Object Detection (F32)
|
100% |
284
9.98 IPS |
|
|
Object Detection (F16)
|
100% |
283
9.95 IPS |
|
|
Object Detection (I8)
|
52% |
436
15.3 IPS |
|
|
Face Detection (F32)
|
100% |
352
4.04 IPS |
|
|
Face Detection (F16)
|
100% |
352
4.04 IPS |
|
|
Face Detection (I8)
|
75% |
514
5.90 IPS |
|
|
Text Classification (F32)
|
100% |
284
112.4 IPS |
|
|
Text Classification (F16)
|
100% |
215
85.1 IPS |
|
|
Machine Translation (F32)
|
100% |
215
33.2 IPS |
|
|
Machine Translation (F16)
|
100% |
214
32.9 IPS |
