iPhone14,4
Geekbench ML Score
2680
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 07:36 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone14,4 |
| Model ID | iPhone14,4 |
| Motherboard | D16AP |
| 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 | 3.61 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5299
567.8 IPS |
|
|
Image Classification (F16)
|
100% |
5679
608.5 IPS |
|
|
Image Classification (I8)
|
81% |
696
74.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2037
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2039
12.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
1175
7.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
22006
89.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
21503
87.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
230
0.93 IPS |
|
|
Object Detection (F32)
|
100% |
7010
246.0 IPS |
|
|
Object Detection (F16)
|
100% |
6866
240.9 IPS |
|
|
Object Detection (I8)
|
52% |
930
32.6 IPS |
|
|
Face Detection (F32)
|
100% |
8045
92.4 IPS |
|
|
Face Detection (F16)
|
100% |
7816
89.8 IPS |
|
|
Face Detection (I8)
|
75% |
904
10.4 IPS |
|
|
Text Classification (F32)
|
100% |
1113
440.1 IPS |
|
|
Text Classification (F16)
|
100% |
1110
439.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1980
305.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1975
304.3 IPS |
