iPad mini 4
Geekbench ML Score
199
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | April 10 2025 06:08 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.8.3 |
| 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% |
123
13.1 IPS |
|
|
Image Classification (F16)
|
100% |
123
13.1 IPS |
|
|
Image Classification (I8)
|
81% |
247
26.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
249
1.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
253
1.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
460
2.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
72
0.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
70
0.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
93
0.37 IPS |
|
|
Object Detection (F32)
|
100% |
216
7.58 IPS |
|
|
Object Detection (F16)
|
100% |
205
7.20 IPS |
|
|
Object Detection (I8)
|
52% |
359
12.6 IPS |
|
|
Face Detection (F32)
|
100% |
259
2.97 IPS |
|
|
Face Detection (F16)
|
100% |
256
2.95 IPS |
|
|
Face Detection (I8)
|
75% |
340
3.90 IPS |
|
|
Text Classification (F32)
|
100% |
277
109.4 IPS |
|
|
Text Classification (F16)
|
100% |
300
118.5 IPS |
|
|
Machine Translation (F32)
|
100% |
186
28.7 IPS |
|
|
Machine Translation (F16)
|
100% |
186
28.7 IPS |
