iPad mini 4
Geekbench ML Score
116
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | OXO |
| Upload Date | September 24 2025 02:33 PM |
| Views | 3 |
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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
90
9.60 IPS |
|
|
Image Classification (F16)
|
100% |
90
9.59 IPS |
|
|
Image Classification (I8)
|
81% |
147
15.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
147
0.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
147
0.91 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% |
134
4.71 IPS |
|
|
Object Detection (F16)
|
100% |
146
5.12 IPS |
|
|
Object Detection (I8)
|
52% |
208
7.29 IPS |
|
|
Face Detection (F32)
|
100% |
159
1.83 IPS |
|
|
Face Detection (F16)
|
100% |
159
1.83 IPS |
|
|
Face Detection (I8)
|
75% |
198
2.27 IPS |
|
|
Text Classification (F32)
|
98% |
71
27.9 IPS |
|
|
Text Classification (F16)
|
98% |
80
31.8 IPS |
|
|
Machine Translation (F32)
|
100% |
181
28.0 IPS |
|
|
Machine Translation (F16)
|
100% |
179
27.7 IPS |
