iPhone14,2
Geekbench ML Score
2700
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 08:04 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% |
5472
586.3 IPS |
|
|
Image Classification (F16)
|
100% |
5692
609.9 IPS |
|
|
Image Classification (I8)
|
81% |
694
74.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2033
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2056
12.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1218
7.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
21782
88.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
21875
88.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
235
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
6745
236.7 IPS |
|
|
Object Detection (F16)
|
100% |
6939
243.5 IPS |
|
|
Object Detection (I8)
|
52% |
976
34.2 IPS |
|
|
Face Detection (F32)
|
100% |
7866
90.4 IPS |
|
|
Face Detection (F16)
|
100% |
7732
88.8 IPS |
|
|
Face Detection (I8)
|
75% |
925
10.6 IPS |
|
|
Text Classification (F32)
|
100% |
1156
457.0 IPS |
|
|
Text Classification (F16)
|
100% |
1100
434.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1981
305.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1977
304.7 IPS |
