iPad mini 4
Geekbench ML Score
175
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 04 2024 01:46 AM |
| Views | 1 |
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% |
96
10.3 IPS |
|
|
Image Classification (F16)
|
100% |
114
12.2 IPS |
|
|
Image Classification (I8)
|
81% |
188
20.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
227
1.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
213
1.32 IPS |
|
|
Image Segmentation (I8)
|
89% |
426
2.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
67
0.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
61
0.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
76
0.31 IPS |
|
|
Object Detection (F32)
|
100% |
192
6.74 IPS |
|
|
Object Detection (F16)
|
100% |
185
6.48 IPS |
|
|
Object Detection (I8)
|
52% |
315
11.1 IPS |
|
|
Face Detection (F32)
|
100% |
228
2.62 IPS |
|
|
Face Detection (F16)
|
100% |
230
2.65 IPS |
|
|
Face Detection (I8)
|
75% |
307
3.53 IPS |
|
|
Text Classification (F32)
|
100% |
246
97.4 IPS |
|
|
Text Classification (F16)
|
100% |
252
99.6 IPS |
|
|
Machine Translation (F32)
|
100% |
173
26.7 IPS |
|
|
Machine Translation (F16)
|
100% |
172
26.5 IPS |
