iPad mini (6th generation)
Geekbench ML Score
871
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | July 16 2022 07:52 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,1 |
| Motherboard | J310AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.92 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.78 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
737
78.9 IPS |
|
|
Image Classification (F16)
|
100% |
685
73.4 IPS |
|
|
Image Classification (I8)
|
81% |
454
48.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1023
6.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
978
6.04 IPS |
|
|
Image Segmentation (I8)
|
89% |
1391
8.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
382
1.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
376
1.52 IPS |
|
|
Pose Estimation (I8)
|
80% |
455
1.84 IPS |
|
|
Object Detection (F32)
|
100% |
961
33.7 IPS |
|
|
Object Detection (F16)
|
100% |
974
34.2 IPS |
|
|
Object Detection (I8)
|
52% |
735
25.8 IPS |
|
|
Face Detection (F32)
|
100% |
1232
14.2 IPS |
|
|
Face Detection (F16)
|
100% |
1188
13.6 IPS |
|
|
Face Detection (I8)
|
75% |
842
9.67 IPS |
|
|
Text Classification (F32)
|
100% |
1146
453.2 IPS |
|
|
Text Classification (F16)
|
100% |
1056
417.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1851
285.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1861
286.8 IPS |
