iPhone14,2
Geekbench ML Score
2718
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 16 2021 01:46 AM |
| Views | 44 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone14,2 |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.24 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5527
592.2 IPS |
|
|
Image Classification (F16)
|
100% |
5381
576.5 IPS |
|
|
Image Classification (I8)
|
81% |
699
74.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2046
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2051
12.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1255
7.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
21919
88.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
22585
91.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
238
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
7003
245.8 IPS |
|
|
Object Detection (F16)
|
100% |
7452
261.5 IPS |
|
|
Object Detection (I8)
|
52% |
986
34.6 IPS |
|
|
Face Detection (F32)
|
100% |
7722
88.7 IPS |
|
|
Face Detection (F16)
|
100% |
7732
88.8 IPS |
|
|
Face Detection (I8)
|
75% |
941
10.8 IPS |
|
|
Text Classification (F32)
|
100% |
1115
441.2 IPS |
|
|
Text Classification (F16)
|
100% |
1116
441.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1968
303.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1962
302.4 IPS |
