iPhone 13 mini
Geekbench ML Score
2705
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | March 10 2022 07:16 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.3.1 |
| Model | iPhone 13 mini |
| Model ID | iPhone14,4 |
| Motherboard | D16AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.61 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5096
546.0 IPS |
|
|
Image Classification (F16)
|
100% |
5198
557.0 IPS |
|
|
Image Classification (I8)
|
81% |
697
74.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2184
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2178
13.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
1221
7.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
22473
90.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
21779
88.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
234
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
7016
246.2 IPS |
|
|
Object Detection (F16)
|
100% |
6827
239.6 IPS |
|
|
Object Detection (I8)
|
52% |
981
34.4 IPS |
|
|
Face Detection (F32)
|
100% |
7982
91.7 IPS |
|
|
Face Detection (F16)
|
100% |
8061
92.6 IPS |
|
|
Face Detection (I8)
|
75% |
938
10.8 IPS |
|
|
Text Classification (F32)
|
100% |
1104
436.7 IPS |
|
|
Text Classification (F16)
|
100% |
1107
437.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1961
302.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1962
302.4 IPS |
