iPad mini 4
Geekbench ML Score
186
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 05 2026 08:50 AM |
| Views | 2 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
117
12.5 IPS |
|
|
Image Classification (F16)
|
100% |
116
12.5 IPS |
|
|
Image Classification (I8)
|
81% |
246
26.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
245
1.51 IPS |
|
|
Image Segmentation (F16)
|
100% |
241
1.49 IPS |
|
|
Image Segmentation (I8)
|
89% |
460
2.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
67
0.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
66
0.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
83
0.33 IPS |
|
|
Object Detection (F32)
|
100% |
198
6.96 IPS |
|
|
Object Detection (F16)
|
100% |
187
6.58 IPS |
|
|
Object Detection (I8)
|
52% |
335
11.8 IPS |
|
|
Face Detection (F32)
|
100% |
230
2.64 IPS |
|
|
Face Detection (F16)
|
100% |
235
2.70 IPS |
|
|
Face Detection (I8)
|
75% |
298
3.43 IPS |
|
|
Text Classification (F32)
|
100% |
243
96.1 IPS |
|
|
Text Classification (F16)
|
100% |
266
105.4 IPS |
|
|
Machine Translation (F32)
|
100% |
176
27.2 IPS |
|
|
Machine Translation (F16)
|
100% |
175
27.0 IPS |
