iPad mini (5th generation)
Geekbench ML Score
554
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for iOS AArch64
Result Information
| Upload Date | May 11 2021 12:21 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.4.2 |
| Model | iPad mini (5th generation) |
| Model ID | iPad11,2 |
| Motherboard | J211AP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 128 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.86 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
483
51.7 IPS |
|
|
Image Classification (F16)
|
100% |
480
51.4 IPS |
|
|
Image Classification (I8)
|
81% |
274
29.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
779
4.81 IPS |
|
|
Image Segmentation (F16)
|
100% |
770
4.76 IPS |
|
|
Image Segmentation (I8)
|
89% |
980
6.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
249
1.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
246
1.00 IPS |
|
|
Pose Estimation (I8)
|
80% |
271
1.10 IPS |
|
|
Object Detection (F32)
|
100% |
569
20.0 IPS |
|
|
Object Detection (F16)
|
100% |
541
19.0 IPS |
|
|
Object Detection (I8)
|
52% |
446
15.7 IPS |
|
|
Face Detection (F32)
|
100% |
626
7.19 IPS |
|
|
Face Detection (F16)
|
100% |
714
8.20 IPS |
|
|
Face Detection (I8)
|
75% |
595
6.83 IPS |
|
|
Text Classification (F32)
|
100% |
778
307.8 IPS |
|
|
Text Classification (F16)
|
100% |
785
310.7 IPS |
|
|
Machine Translation (F32)
|
100% |
999
154.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1001
154.3 IPS |
