iPhone14,6
Geekbench ML Score
2701
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 26 2022 12:18 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7 |
| Model | iPhone14,6 |
| Model ID | iPhone14,6 |
| Motherboard | D49AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.22 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 | 3.79 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5239
561.3 IPS |
|
|
Image Classification (F16)
|
100% |
5302
568.1 IPS |
|
|
Image Classification (I8)
|
81% |
692
74.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2124
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2146
13.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
1227
7.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
23128
93.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
24449
98.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
232
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
6837
239.9 IPS |
|
|
Object Detection (F16)
|
100% |
7270
255.1 IPS |
|
|
Object Detection (I8)
|
52% |
950
33.3 IPS |
|
|
Face Detection (F32)
|
100% |
8000
91.9 IPS |
|
|
Face Detection (F16)
|
100% |
7956
91.4 IPS |
|
|
Face Detection (I8)
|
75% |
909
10.4 IPS |
|
|
Text Classification (F32)
|
100% |
1031
407.7 IPS |
|
|
Text Classification (F16)
|
100% |
1040
411.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1958
301.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1956
301.5 IPS |
