iPhone14,6
Geekbench ML Score
916
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2022 02:17 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| Model | iPhone14,6 |
| Model ID | iPhone14,6 |
| Motherboard | D49AP |
| 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 | 3.79 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
756
81.0 IPS |
|
|
Image Classification (F16)
|
100% |
737
78.9 IPS |
|
|
Image Classification (I8)
|
81% |
475
50.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1072
6.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
1038
6.41 IPS |
|
|
Image Segmentation (I8)
|
89% |
1440
8.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
412
1.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
401
1.62 IPS |
|
|
Pose Estimation (I8)
|
80% |
469
1.90 IPS |
|
|
Object Detection (F32)
|
100% |
1021
35.8 IPS |
|
|
Object Detection (F16)
|
100% |
1029
36.1 IPS |
|
|
Object Detection (I8)
|
52% |
774
27.2 IPS |
|
|
Face Detection (F32)
|
100% |
1297
14.9 IPS |
|
|
Face Detection (F16)
|
100% |
1183
13.6 IPS |
|
|
Face Detection (I8)
|
75% |
1126
12.9 IPS |
|
|
Text Classification (F32)
|
100% |
988
390.8 IPS |
|
|
Text Classification (F16)
|
100% |
1102
435.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1953
301.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1956
301.4 IPS |
