iPad mini (6th generation)
Geekbench ML Score
2688
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 03 2023 12:44 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5678
608.4 IPS |
|
|
Image Classification (F16)
|
100% |
5628
603.1 IPS |
|
|
Image Classification (I8)
|
81% |
633
67.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2063
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2021
12.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
1153
7.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
20709
83.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
20349
82.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
219
0.89 IPS |
|
|
Object Detection (F32)
|
100% |
7038
247.0 IPS |
|
|
Object Detection (F16)
|
100% |
7242
254.1 IPS |
|
|
Object Detection (I8)
|
52% |
906
31.8 IPS |
|
|
Face Detection (F32)
|
100% |
8523
97.9 IPS |
|
|
Face Detection (F16)
|
100% |
8546
98.2 IPS |
|
|
Face Detection (I8)
|
75% |
887
10.2 IPS |
|
|
Text Classification (F32)
|
100% |
1209
478.3 IPS |
|
|
Text Classification (F16)
|
100% |
1214
480.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1926
296.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1912
294.8 IPS |
