iPad mini 4
Geekbench ML Score
190
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | OXO |
| Upload Date | September 24 2025 02:13 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
125
13.4 IPS |
|
|
Image Classification (F16)
|
100% |
125
13.4 IPS |
|
|
Image Classification (I8)
|
81% |
254
27.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
240
1.48 IPS |
|
|
Image Segmentation (F16)
|
100% |
238
1.47 IPS |
|
|
Image Segmentation (I8)
|
89% |
452
2.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
70
0.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
65
0.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
80
0.32 IPS |
|
|
Object Detection (F32)
|
100% |
203
7.14 IPS |
|
|
Object Detection (F16)
|
100% |
197
6.92 IPS |
|
|
Object Detection (I8)
|
52% |
341
12.0 IPS |
|
|
Face Detection (F32)
|
100% |
243
2.80 IPS |
|
|
Face Detection (F16)
|
100% |
231
2.66 IPS |
|
|
Face Detection (I8)
|
75% |
304
3.50 IPS |
|
|
Text Classification (F32)
|
100% |
269
106.5 IPS |
|
|
Text Classification (F16)
|
100% |
269
106.2 IPS |
|
|
Machine Translation (F32)
|
100% |
183
28.2 IPS |
|
|
Machine Translation (F16)
|
100% |
184
28.4 IPS |
