iPad mini (5th generation)
Geekbench ML Score
1304
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 03 2025 08:17 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.3 |
| 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 | 2.86 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3073
329.3 IPS |
|
|
Image Classification (F16)
|
100% |
2952
316.3 IPS |
|
|
Image Classification (I8)
|
81% |
400
42.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1383
8.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
1368
8.45 IPS |
|
|
Image Segmentation (I8)
|
89% |
745
4.60 IPS |
|
|
Pose Estimation (F32)
|
100% |
7445
30.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
7330
29.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
141
0.57 IPS |
|
|
Object Detection (F32)
|
94% |
3939
138.3 IPS |
|
|
Object Detection (F16)
|
94% |
3769
132.3 IPS |
|
|
Object Detection (I8)
|
52% |
566
19.9 IPS |
|
|
Face Detection (F32)
|
67% |
3466
39.8 IPS |
|
|
Face Detection (F16)
|
67% |
3450
39.6 IPS |
|
|
Face Detection (I8)
|
75% |
550
6.32 IPS |
|
|
Text Classification (F32)
|
100% |
268
105.9 IPS |
|
|
Text Classification (F16)
|
100% |
268
106.0 IPS |
|
|
Machine Translation (F32)
|
100% |
996
153.5 IPS |
|
|
Machine Translation (F16)
|
100% |
998
153.9 IPS |
