iPad mini 4
Geekbench ML Score
199
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 05 2026 11:13 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% |
124
13.3 IPS |
|
|
Image Classification (F16)
|
100% |
124
13.3 IPS |
|
|
Image Classification (I8)
|
81% |
257
27.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
254
1.57 IPS |
|
|
Image Segmentation (F16)
|
100% |
247
1.52 IPS |
|
|
Image Segmentation (I8)
|
89% |
481
2.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
73
0.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
72
0.29 IPS |
|
|
Pose Estimation (I8)
|
80% |
89
0.36 IPS |
|
|
Object Detection (F32)
|
100% |
216
7.58 IPS |
|
|
Object Detection (F16)
|
100% |
203
7.13 IPS |
|
|
Object Detection (I8)
|
52% |
359
12.6 IPS |
|
|
Face Detection (F32)
|
100% |
262
3.00 IPS |
|
|
Face Detection (F16)
|
100% |
251
2.88 IPS |
|
|
Face Detection (I8)
|
75% |
333
3.82 IPS |
|
|
Text Classification (F32)
|
100% |
267
105.5 IPS |
|
|
Text Classification (F16)
|
100% |
287
113.6 IPS |
|
|
Machine Translation (F32)
|
100% |
187
28.9 IPS |
|
|
Machine Translation (F16)
|
100% |
187
28.8 IPS |
