iPhone14,2
Geekbench ML Score
960
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 10:52 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| Model | iPhone14,2 |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
781
83.7 IPS |
|
|
Image Classification (F16)
|
100% |
748
80.2 IPS |
|
|
Image Classification (I8)
|
81% |
454
48.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1101
6.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
1067
6.59 IPS |
|
|
Image Segmentation (I8)
|
89% |
1426
8.81 IPS |
|
|
Pose Estimation (F32)
|
100% |
414
1.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
417
1.69 IPS |
|
|
Pose Estimation (I8)
|
80% |
486
1.97 IPS |
|
|
Object Detection (F32)
|
100% |
1101
38.7 IPS |
|
|
Object Detection (F16)
|
100% |
1100
38.6 IPS |
|
|
Object Detection (I8)
|
52% |
716
25.1 IPS |
|
|
Face Detection (F32)
|
100% |
1367
15.7 IPS |
|
|
Face Detection (F16)
|
100% |
1335
15.3 IPS |
|
|
Face Detection (I8)
|
75% |
842
9.67 IPS |
|
|
Text Classification (F32)
|
100% |
1144
452.3 IPS |
|
|
Text Classification (F16)
|
100% |
2134
844.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1962
302.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1961
302.2 IPS |
