iPhone 12 Mini
Geekbench ML Score
2415
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 14 2022 11:52 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.2.1 |
| Model | iPhone 12 Mini |
| Model ID | iPhone13,1 |
| Motherboard | D52gAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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 | 3.63 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5160
552.9 IPS |
|
|
Image Classification (F16)
|
100% |
5067
542.9 IPS |
|
|
Image Classification (I8)
|
81% |
642
68.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1884
11.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1897
11.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1108
6.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
17664
71.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
17085
69.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
217
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
6323
221.9 IPS |
|
|
Object Detection (F16)
|
100% |
6419
225.3 IPS |
|
|
Object Detection (I8)
|
52% |
859
30.1 IPS |
|
|
Face Detection (F32)
|
100% |
6858
78.8 IPS |
|
|
Face Detection (F16)
|
100% |
6839
78.6 IPS |
|
|
Face Detection (I8)
|
75% |
877
10.1 IPS |
|
|
Text Classification (F32)
|
100% |
1038
410.4 IPS |
|
|
Text Classification (F16)
|
100% |
1036
409.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1686
259.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1677
258.5 IPS |
