iPad mini (5th generation)
Geekbench ML Score
592
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 14 2021 06:54 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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 | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 2.00 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% |
467
50.0 IPS |
|
|
Image Classification (F16)
|
100% |
465
49.8 IPS |
|
|
Image Classification (I8)
|
81% |
285
30.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
772
4.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
761
4.70 IPS |
|
|
Image Segmentation (I8)
|
89% |
979
6.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
262
1.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
261
1.06 IPS |
|
|
Pose Estimation (I8)
|
80% |
276
1.12 IPS |
|
|
Object Detection (F32)
|
100% |
714
25.1 IPS |
|
|
Object Detection (F16)
|
100% |
718
25.2 IPS |
|
|
Object Detection (I8)
|
52% |
542
19.0 IPS |
|
|
Face Detection (F32)
|
100% |
901
10.4 IPS |
|
|
Face Detection (F16)
|
100% |
896
10.3 IPS |
|
|
Face Detection (I8)
|
75% |
527
6.06 IPS |
|
|
Text Classification (F32)
|
100% |
772
305.3 IPS |
|
|
Text Classification (F16)
|
100% |
790
312.5 IPS |
|
|
Machine Translation (F32)
|
100% |
993
153.1 IPS |
|
|
Machine Translation (F16)
|
100% |
989
152.5 IPS |
