iPad mini (5th generation)
Geekbench ML Score
568
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 07:19 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPad mini (5th generation) |
| Model ID | iPad11,1 |
| Motherboard | J210AP |
| 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 | 2.85 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
463
49.6 IPS |
|
|
Image Classification (F16)
|
100% |
466
49.9 IPS |
|
|
Image Classification (I8)
|
81% |
278
29.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
769
4.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
758
4.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
976
6.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
245
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
242
0.98 IPS |
|
|
Pose Estimation (I8)
|
80% |
266
1.08 IPS |
|
|
Object Detection (F32)
|
100% |
381
13.4 IPS |
|
|
Object Detection (F16)
|
100% |
728
25.6 IPS |
|
|
Object Detection (I8)
|
52% |
524
18.4 IPS |
|
|
Face Detection (F32)
|
100% |
848
9.75 IPS |
|
|
Face Detection (F16)
|
100% |
845
9.71 IPS |
|
|
Face Detection (I8)
|
75% |
643
7.39 IPS |
|
|
Text Classification (F32)
|
100% |
790
312.5 IPS |
|
|
Text Classification (F16)
|
100% |
780
308.5 IPS |
|
|
Machine Translation (F32)
|
100% |
996
153.5 IPS |
|
|
Machine Translation (F16)
|
100% |
993
153.0 IPS |
