iPhone14,4
Geekbench ML Score
819
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 06:35 AM |
| Views | 1 |
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 | 3.24 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 | 3.61 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
739
79.1 IPS |
|
|
Image Classification (F16)
|
100% |
688
73.7 IPS |
|
|
Image Classification (I8)
|
81% |
311
33.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1035
6.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
982
6.07 IPS |
|
|
Image Segmentation (I8)
|
89% |
1299
8.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
343
1.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
344
1.39 IPS |
|
|
Pose Estimation (I8)
|
80% |
417
1.69 IPS |
|
|
Object Detection (F32)
|
100% |
993
34.8 IPS |
|
|
Object Detection (F16)
|
100% |
1019
35.8 IPS |
|
|
Object Detection (I8)
|
52% |
462
16.2 IPS |
|
|
Face Detection (F32)
|
100% |
1240
14.2 IPS |
|
|
Face Detection (F16)
|
100% |
1170
13.4 IPS |
|
|
Face Detection (I8)
|
75% |
782
8.98 IPS |
|
|
Text Classification (F32)
|
100% |
1011
400.0 IPS |
|
|
Text Classification (F16)
|
100% |
1035
409.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1989
306.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1989
306.6 IPS |
