iPhone14,6
Geekbench ML Score
890
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 30 2022 12:38 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4 |
| Model | iPhone14,6 |
| Model ID | iPhone14,6 |
| Motherboard | D49AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.22 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 | 3.79 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
767
82.2 IPS |
|
|
Image Classification (F16)
|
100% |
723
77.5 IPS |
|
|
Image Classification (I8)
|
81% |
440
47.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1079
6.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
1021
6.31 IPS |
|
|
Image Segmentation (I8)
|
89% |
1437
8.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
398
1.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
390
1.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
471
1.90 IPS |
|
|
Object Detection (F32)
|
100% |
1011
35.5 IPS |
|
|
Object Detection (F16)
|
100% |
1015
35.6 IPS |
|
|
Object Detection (I8)
|
52% |
753
26.4 IPS |
|
|
Face Detection (F32)
|
100% |
1282
14.7 IPS |
|
|
Face Detection (F16)
|
100% |
1240
14.2 IPS |
|
|
Face Detection (I8)
|
75% |
840
9.65 IPS |
|
|
Text Classification (F32)
|
100% |
1003
396.7 IPS |
|
|
Text Classification (F16)
|
100% |
990
391.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1951
300.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1952
300.8 IPS |
