iPad mini (5th generation)
Geekbench ML Score
555
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 03 2021 04:30 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.3 |
| 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% |
453
48.5 IPS |
|
|
Image Classification (F16)
|
100% |
420
45.0 IPS |
|
|
Image Classification (I8)
|
81% |
215
23.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
752
4.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
769
4.75 IPS |
|
|
Image Segmentation (I8)
|
89% |
854
5.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
170
0.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
206
0.83 IPS |
|
|
Pose Estimation (I8)
|
80% |
276
1.12 IPS |
|
|
Object Detection (F32)
|
100% |
691
24.3 IPS |
|
|
Object Detection (F16)
|
100% |
668
23.5 IPS |
|
|
Object Detection (I8)
|
52% |
534
18.7 IPS |
|
|
Face Detection (F32)
|
100% |
869
9.99 IPS |
|
|
Face Detection (F16)
|
100% |
859
9.87 IPS |
|
|
Face Detection (I8)
|
75% |
632
7.26 IPS |
|
|
Text Classification (F32)
|
100% |
787
311.2 IPS |
|
|
Text Classification (F16)
|
100% |
787
311.1 IPS |
|
|
Machine Translation (F32)
|
100% |
997
153.7 IPS |
|
|
Machine Translation (F16)
|
100% |
996
153.5 IPS |
