iPhone14,4
Geekbench ML Score
2690
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 07:00 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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% |
5277
565.4 IPS |
|
|
Image Classification (F16)
|
100% |
5210
558.2 IPS |
|
|
Image Classification (I8)
|
81% |
699
74.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2052
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2053
12.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1188
7.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
22078
89.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
22156
89.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
227
0.92 IPS |
|
|
Object Detection (F32)
|
100% |
7439
261.1 IPS |
|
|
Object Detection (F16)
|
100% |
6844
240.2 IPS |
|
|
Object Detection (I8)
|
52% |
948
33.3 IPS |
|
|
Face Detection (F32)
|
100% |
7974
91.6 IPS |
|
|
Face Detection (F16)
|
100% |
8014
92.1 IPS |
|
|
Face Detection (I8)
|
75% |
908
10.4 IPS |
|
|
Text Classification (F32)
|
100% |
1129
446.5 IPS |
|
|
Text Classification (F16)
|
100% |
1113
440.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1971
303.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1978
304.9 IPS |
