iPhone14,2
Geekbench ML Score
721
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 22 2021 08:36 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| Model | iPhone14,2 |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.38 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
494
52.9 IPS |
|
|
Image Classification (F16)
|
100% |
482
51.7 IPS |
|
|
Image Classification (I8)
|
81% |
845
90.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
574
3.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
574
3.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
1427
8.81 IPS |
|
|
Pose Estimation (F32)
|
100% |
252
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
335
1.35 IPS |
|
|
Pose Estimation (I8)
|
80% |
386
1.56 IPS |
|
|
Object Detection (F32)
|
100% |
742
26.0 IPS |
|
|
Object Detection (F16)
|
100% |
752
26.4 IPS |
|
|
Object Detection (I8)
|
52% |
1091
38.3 IPS |
|
|
Face Detection (F32)
|
100% |
845
9.70 IPS |
|
|
Face Detection (F16)
|
100% |
857
9.85 IPS |
|
|
Face Detection (I8)
|
75% |
1146
13.2 IPS |
|
|
Text Classification (F32)
|
100% |
1239
490.2 IPS |
|
|
Text Classification (F16)
|
100% |
1218
481.8 IPS |
|
|
Machine Translation (F32)
|
100% |
930
143.3 IPS |
|
|
Machine Translation (F16)
|
100% |
932
143.6 IPS |
