iPad mini 4
Geekbench ML Score
115
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 05 2026 12:15 PM |
| Views | 5 |
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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
90
9.62 IPS |
|
|
Image Classification (F16)
|
100% |
90
9.69 IPS |
|
|
Image Classification (I8)
|
81% |
147
15.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
147
0.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
147
0.90 IPS |
|
|
Image Segmentation (I8)
|
89% |
273
1.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
37
0.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
37
0.15 IPS |
|
|
Pose Estimation (I8)
|
80% |
51
0.21 IPS |
|
|
Object Detection (F32)
|
100% |
139
4.88 IPS |
|
|
Object Detection (F16)
|
100% |
135
4.75 IPS |
|
|
Object Detection (I8)
|
52% |
208
7.31 IPS |
|
|
Face Detection (F32)
|
100% |
151
1.73 IPS |
|
|
Face Detection (F16)
|
100% |
149
1.72 IPS |
|
|
Face Detection (I8)
|
75% |
202
2.32 IPS |
|
|
Text Classification (F32)
|
98% |
74
29.1 IPS |
|
|
Text Classification (F16)
|
98% |
70
27.7 IPS |
|
|
Machine Translation (F32)
|
100% |
188
28.9 IPS |
|
|
Machine Translation (F16)
|
100% |
187
28.9 IPS |
