iPad mini 4
Geekbench ML Score
285
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 29 2025 03:45 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.5 |
| Model | iPad mini 4 |
| Model ID | iPad5,2 |
| Motherboard | J97AP |
| CPU Information | |
|---|---|
| Name | Apple A8 |
| Topology | 1 Processor, 2 Cores |
| Identifier | ARM |
| Base Frequency | 1.50 GHz |
| L1 Instruction Cache | 64.0 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 1.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.94 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
304
32.6 IPS |
|
|
Image Classification (F16)
|
100% |
432
46.3 IPS |
|
|
Image Classification (I8)
|
81% |
147
15.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
494
3.05 IPS |
|
|
Image Segmentation (F16)
|
100% |
659
4.07 IPS |
|
|
Image Segmentation (I8)
|
89% |
273
1.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
179
0.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
303
1.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
51
0.21 IPS |
|
|
Object Detection (F32)
|
100% |
400
14.0 IPS |
|
|
Object Detection (F16)
|
100% |
557
19.6 IPS |
|
|
Object Detection (I8)
|
52% |
208
7.31 IPS |
|
|
Face Detection (F32)
|
100% |
500
5.75 IPS |
|
|
Face Detection (F16)
|
97% |
767
8.81 IPS |
|
|
Face Detection (I8)
|
75% |
203
2.33 IPS |
|
|
Text Classification (F32)
|
100% |
242
95.5 IPS |
|
|
Text Classification (F16)
|
98% |
305
120.6 IPS |
|
|
Machine Translation (F32)
|
100% |
187
28.8 IPS |
|
|
Machine Translation (F16)
|
100% |
187
28.8 IPS |
