iPhone14,2
Geekbench ML Score
2682
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 08:12 PM |
| Views | 1 |
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 | 3.23 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% |
5412
579.9 IPS |
|
|
Image Classification (F16)
|
100% |
5343
572.5 IPS |
|
|
Image Classification (I8)
|
81% |
691
74.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2037
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2022
12.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
1219
7.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
22112
89.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
21830
88.3 IPS |
|
|
Pose Estimation (I8)
|
80% |
233
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
6913
242.6 IPS |
|
|
Object Detection (F16)
|
100% |
6839
240.0 IPS |
|
|
Object Detection (I8)
|
52% |
985
34.6 IPS |
|
|
Face Detection (F32)
|
100% |
7777
89.4 IPS |
|
|
Face Detection (F16)
|
100% |
7884
90.6 IPS |
|
|
Face Detection (I8)
|
75% |
925
10.6 IPS |
|
|
Text Classification (F32)
|
100% |
1099
434.7 IPS |
|
|
Text Classification (F16)
|
100% |
1101
435.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1959
301.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1963
302.6 IPS |
