iPhone14,2
Geekbench ML Score
2723
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 10:59 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| 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% |
5605
600.6 IPS |
|
|
Image Classification (F16)
|
100% |
5564
596.1 IPS |
|
|
Image Classification (I8)
|
81% |
696
74.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2056
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2062
12.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1248
7.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
22833
92.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
22859
92.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
237
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
6874
241.2 IPS |
|
|
Object Detection (F16)
|
100% |
6793
238.4 IPS |
|
|
Object Detection (I8)
|
52% |
994
34.9 IPS |
|
|
Face Detection (F32)
|
100% |
7899
90.8 IPS |
|
|
Face Detection (F16)
|
100% |
8021
92.2 IPS |
|
|
Face Detection (I8)
|
75% |
949
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
1086
429.6 IPS |
|
|
Text Classification (F16)
|
100% |
1101
435.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1975
304.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1971
303.7 IPS |
