iPad (5th generation)
Geekbench ML Score
287
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 01:30 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| Model | iPad (5th generation) |
| Model ID | iPad6,11 |
| Motherboard | J71tAP |
| CPU Information | |
|---|---|
| Name | Apple A9 |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 1.80 GHz |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 3.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
256
27.4 IPS |
|
|
Image Classification (F16)
|
100% |
271
29.1 IPS |
|
|
Image Classification (I8)
|
81% |
191
20.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
480
2.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
479
2.96 IPS |
|
|
Image Segmentation (I8)
|
89% |
362
2.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
312
1.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
309
1.25 IPS |
|
|
Pose Estimation (I8)
|
80% |
66
0.27 IPS |
|
|
Object Detection (F32)
|
100% |
477
16.7 IPS |
|
|
Object Detection (F16)
|
100% |
501
17.6 IPS |
|
|
Object Detection (I8)
|
52% |
272
9.56 IPS |
|
|
Face Detection (F32)
|
100% |
680
7.82 IPS |
|
|
Face Detection (F16)
|
100% |
685
7.87 IPS |
|
|
Face Detection (I8)
|
75% |
266
3.05 IPS |
|
|
Text Classification (F32)
|
98% |
66
26.1 IPS |
|
|
Text Classification (F16)
|
98% |
68
27.0 IPS |
|
|
Machine Translation (F32)
|
100% |
453
69.9 IPS |
|
|
Machine Translation (F16)
|
100% |
453
69.8 IPS |
