iPhone14,7
Geekbench ML Score
2813
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | February 22 2023 12:08 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.4 |
| Model | iPhone14,7 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6135
657.4 IPS |
|
|
Image Classification (F16)
|
100% |
6142
658.1 IPS |
|
|
Image Classification (I8)
|
81% |
686
73.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2076
12.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2099
13.0 IPS |
|
|
Image Segmentation (I8)
|
89% |
1153
7.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
23387
94.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
24492
99.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
221
0.89 IPS |
|
|
Object Detection (F32)
|
100% |
7416
260.3 IPS |
|
|
Object Detection (F16)
|
100% |
7345
257.8 IPS |
|
|
Object Detection (I8)
|
52% |
913
32.0 IPS |
|
|
Face Detection (F32)
|
100% |
8867
101.9 IPS |
|
|
Face Detection (F16)
|
100% |
8786
100.9 IPS |
|
|
Face Detection (I8)
|
75% |
866
9.94 IPS |
|
|
Text Classification (F32)
|
100% |
1207
477.4 IPS |
|
|
Text Classification (F16)
|
100% |
1214
480.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2060
317.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2061
317.6 IPS |
