iPhone 12 Mini
Geekbench ML Score
861
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 15 2021 10:04 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
631
67.6 IPS |
|
|
Image Classification (F16)
|
100% |
603
64.6 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
933
5.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
888
5.48 IPS |
|
|
Image Segmentation (I8)
|
89% |
1361
8.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
335
1.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
335
1.35 IPS |
|
|
Pose Estimation (I8)
|
80% |
416
1.68 IPS |
|
|
Object Detection (F32)
|
100% |
824
28.9 IPS |
|
|
Object Detection (F16)
|
100% |
827
29.0 IPS |
|
|
Object Detection (I8)
|
52% |
732
25.7 IPS |
|
|
Face Detection (F32)
|
100% |
1028
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
1000
11.5 IPS |
|
|
Face Detection (I8)
|
75% |
812
9.33 IPS |
|
|
Text Classification (F32)
|
100% |
2350
929.5 IPS |
|
|
Text Classification (F16)
|
100% |
2389
944.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1680
258.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1674
258.0 IPS |
