iPhone14,7
Geekbench ML Score
2767
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 09 2022 04:58 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| Model | iPhone14,7 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| 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% |
6020
645.0 IPS |
|
|
Image Classification (F16)
|
100% |
5915
633.8 IPS |
|
|
Image Classification (I8)
|
81% |
694
74.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2156
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2177
13.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
1161
7.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
22740
92.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
22378
90.5 IPS |
|
|
Pose Estimation (I8)
|
80% |
223
0.90 IPS |
|
|
Object Detection (F32)
|
100% |
7461
261.8 IPS |
|
|
Object Detection (F16)
|
100% |
7413
260.2 IPS |
|
|
Object Detection (I8)
|
52% |
918
32.2 IPS |
|
|
Face Detection (F32)
|
100% |
8709
100.1 IPS |
|
|
Face Detection (F16)
|
100% |
8707
100.0 IPS |
|
|
Face Detection (I8)
|
75% |
873
10.0 IPS |
|
|
Text Classification (F32)
|
100% |
1212
479.3 IPS |
|
|
Text Classification (F16)
|
100% |
1204
476.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1632
251.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2047
315.5 IPS |
