iPhone 12 Mini
Geekbench ML Score
2417
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 05 2021 04:44 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| 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% |
5316
569.6 IPS |
|
|
Image Classification (F16)
|
100% |
5122
548.8 IPS |
|
|
Image Classification (I8)
|
81% |
636
68.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1891
11.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1975
12.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1088
6.72 IPS |
|
|
Pose Estimation (F32)
|
100% |
17481
70.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
17119
69.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
209
0.84 IPS |
|
|
Object Detection (F32)
|
100% |
6381
223.9 IPS |
|
|
Object Detection (F16)
|
100% |
6403
224.7 IPS |
|
|
Object Detection (I8)
|
52% |
873
30.6 IPS |
|
|
Face Detection (F32)
|
100% |
6882
79.1 IPS |
|
|
Face Detection (F16)
|
100% |
6865
78.9 IPS |
|
|
Face Detection (I8)
|
75% |
840
9.65 IPS |
|
|
Text Classification (F32)
|
100% |
1037
410.3 IPS |
|
|
Text Classification (F16)
|
100% |
1070
423.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1678
258.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1664
256.5 IPS |
