iPad mini (5th generation)
Geekbench ML Score
1393
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 27 2025 02:26 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7.2 |
| 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 | 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3830
410.3 IPS |
|
|
Image Classification (F16)
|
100% |
3811
408.4 IPS |
|
|
Image Classification (I8)
|
81% |
403
43.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1392
8.60 IPS |
|
|
Image Segmentation (F16)
|
100% |
1390
8.59 IPS |
|
|
Image Segmentation (I8)
|
89% |
750
4.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
7361
29.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
7524
30.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
142
0.57 IPS |
|
|
Object Detection (F32)
|
94% |
3998
140.3 IPS |
|
|
Object Detection (F16)
|
94% |
4020
141.1 IPS |
|
|
Object Detection (I8)
|
52% |
573
20.1 IPS |
|
|
Face Detection (F32)
|
67% |
3833
44.0 IPS |
|
|
Face Detection (F16)
|
67% |
3835
44.1 IPS |
|
|
Face Detection (I8)
|
75% |
554
6.37 IPS |
|
|
Text Classification (F32)
|
100% |
327
129.2 IPS |
|
|
Text Classification (F16)
|
100% |
330
130.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1003
154.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1003
154.7 IPS |
