iPhone 12 Mini
Geekbench ML Score
836
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 22 2023 01:00 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| 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 | 3.60 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
622
66.7 IPS |
|
|
Image Classification (F16)
|
100% |
528
56.6 IPS |
|
|
Image Classification (I8)
|
81% |
406
43.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
909
5.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
887
5.48 IPS |
|
|
Image Segmentation (I8)
|
89% |
1340
8.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
342
1.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
337
1.36 IPS |
|
|
Pose Estimation (I8)
|
80% |
420
1.70 IPS |
|
|
Object Detection (F32)
|
100% |
850
29.8 IPS |
|
|
Object Detection (F16)
|
100% |
856
30.0 IPS |
|
|
Object Detection (I8)
|
52% |
708
24.9 IPS |
|
|
Face Detection (F32)
|
100% |
1042
12.0 IPS |
|
|
Face Detection (F16)
|
100% |
1012
11.6 IPS |
|
|
Face Detection (I8)
|
75% |
882
10.1 IPS |
|
|
Text Classification (F32)
|
100% |
1836
726.4 IPS |
|
|
Text Classification (F16)
|
100% |
2014
796.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1653
254.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1649
254.1 IPS |
