iPad mini 4
Geekbench ML Score
122
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 01 2025 01:41 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.5 |
| Model | iPad mini 4 |
| Model ID | iPad5,1 |
| Motherboard | J96AP |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
129
13.8 IPS |
|
|
Image Classification (F16)
|
100% |
121
12.9 IPS |
|
|
Image Classification (I8)
|
81% |
249
26.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
238
1.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
231
1.43 IPS |
|
|
Image Segmentation (I8)
|
89% |
171
1.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
30
0.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
27
0.11 IPS |
|
|
Pose Estimation (I8)
|
80% |
28
0.11 IPS |
|
|
Object Detection (F32)
|
100% |
103
3.61 IPS |
|
|
Object Detection (F16)
|
100% |
105
3.69 IPS |
|
|
Object Detection (I8)
|
52% |
58
2.04 IPS |
|
|
Face Detection (F32)
|
100% |
197
2.26 IPS |
|
|
Face Detection (F16)
|
100% |
193
2.22 IPS |
|
|
Face Detection (I8)
|
75% |
244
2.80 IPS |
|
|
Text Classification (F32)
|
100% |
201
79.5 IPS |
|
|
Text Classification (F16)
|
100% |
203
80.2 IPS |
|
|
Machine Translation (F32)
|
100% |
156
24.1 IPS |
|
|
Machine Translation (F16)
|
100% |
157
24.2 IPS |
