iPad mini 4
Geekbench ML Score
202
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 05 2026 11:08 AM |
| Views | 3 |
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% |
121
13.0 IPS |
|
|
Image Classification (F16)
|
100% |
123
13.2 IPS |
|
|
Image Classification (I8)
|
81% |
244
26.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
258
1.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
254
1.57 IPS |
|
|
Image Segmentation (I8)
|
89% |
483
2.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
75
0.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
73
0.30 IPS |
|
|
Pose Estimation (I8)
|
80% |
91
0.37 IPS |
|
|
Object Detection (F32)
|
100% |
218
7.65 IPS |
|
|
Object Detection (F16)
|
100% |
219
7.67 IPS |
|
|
Object Detection (I8)
|
52% |
367
12.9 IPS |
|
|
Face Detection (F32)
|
100% |
262
3.01 IPS |
|
|
Face Detection (F16)
|
100% |
248
2.85 IPS |
|
|
Face Detection (I8)
|
75% |
364
4.18 IPS |
|
|
Text Classification (F32)
|
100% |
265
104.9 IPS |
|
|
Text Classification (F16)
|
100% |
301
119.2 IPS |
|
|
Machine Translation (F32)
|
100% |
187
28.8 IPS |
|
|
Machine Translation (F16)
|
100% |
187
28.9 IPS |
