iPad mini (5th generation)
Geekbench ML Score
1074
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for iOS AArch64
Result Information
| Upload Date | May 11 2021 12:21 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5.1 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
996
106.7 IPS |
|
|
Image Classification (F16)
|
100% |
1116
119.6 IPS |
|
|
Image Classification (I8)
|
81% |
404
43.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
3055
18.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4684
28.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
736
4.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
1200
4.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
3405
13.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
142
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
651
22.8 IPS |
|
|
Object Detection (F16)
|
99% |
913
32.0 IPS |
|
|
Object Detection (I8)
|
52% |
472
16.6 IPS |
|
|
Face Detection (F32)
|
100% |
3127
35.9 IPS |
|
|
Face Detection (F16)
|
97% |
5308
61.0 IPS |
|
|
Face Detection (I8)
|
75% |
547
6.28 IPS |
|
|
Text Classification (F32)
|
100% |
732
289.4 IPS |
|
|
Text Classification (F16)
|
98% |
905
357.9 IPS |
|
|
Machine Translation (F32)
|
100% |
863
133.1 IPS |
|
|
Machine Translation (F16)
|
100% |
987
152.2 IPS |
