iPhone14,2
Geekbench ML Score
2698
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 22 2021 09:17 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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% |
5265
564.1 IPS |
|
|
Image Classification (F16)
|
100% |
5361
574.4 IPS |
|
|
Image Classification (I8)
|
81% |
696
74.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2059
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2042
12.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
1241
7.67 IPS |
|
|
Pose Estimation (F32)
|
100% |
22753
92.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
21855
88.4 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
6903
242.2 IPS |
|
|
Object Detection (F16)
|
100% |
6808
238.9 IPS |
|
|
Object Detection (I8)
|
52% |
995
34.9 IPS |
|
|
Face Detection (F32)
|
100% |
7859
90.3 IPS |
|
|
Face Detection (F16)
|
100% |
7855
90.2 IPS |
|
|
Face Detection (I8)
|
75% |
939
10.8 IPS |
|
|
Text Classification (F32)
|
100% |
1097
433.8 IPS |
|
|
Text Classification (F16)
|
100% |
1104
436.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1966
303.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1969
303.4 IPS |
