iPhone14,4
Geekbench ML Score
913
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 07:06 AM |
| Views | 2 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
782
83.8 IPS |
|
|
Image Classification (F16)
|
100% |
742
79.5 IPS |
|
|
Image Classification (I8)
|
81% |
470
50.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1055
6.52 IPS |
|
|
Image Segmentation (F16)
|
100% |
1024
6.32 IPS |
|
|
Image Segmentation (I8)
|
89% |
1464
9.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
402
1.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
396
1.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
471
1.90 IPS |
|
|
Object Detection (F32)
|
100% |
1036
36.3 IPS |
|
|
Object Detection (F16)
|
100% |
1034
36.3 IPS |
|
|
Object Detection (I8)
|
52% |
767
26.9 IPS |
|
|
Face Detection (F32)
|
100% |
1279
14.7 IPS |
|
|
Face Detection (F16)
|
100% |
1238
14.2 IPS |
|
|
Face Detection (I8)
|
75% |
842
9.68 IPS |
|
|
Text Classification (F32)
|
100% |
1152
455.6 IPS |
|
|
Text Classification (F16)
|
100% |
1136
449.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1967
303.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1963
302.6 IPS |
