iPhone14,3
Geekbench ML Score
925
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 22 2021 08:31 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone14,3 |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
770
82.5 IPS |
|
|
Image Classification (F16)
|
100% |
744
79.7 IPS |
|
|
Image Classification (I8)
|
81% |
466
49.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1079
6.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
1031
6.37 IPS |
|
|
Image Segmentation (I8)
|
89% |
1469
9.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
411
1.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
403
1.63 IPS |
|
|
Pose Estimation (I8)
|
80% |
475
1.92 IPS |
|
|
Object Detection (F32)
|
100% |
1049
36.8 IPS |
|
|
Object Detection (F16)
|
100% |
1051
36.9 IPS |
|
|
Object Detection (I8)
|
52% |
765
26.9 IPS |
|
|
Face Detection (F32)
|
100% |
1287
14.8 IPS |
|
|
Face Detection (F16)
|
100% |
1254
14.4 IPS |
|
|
Face Detection (I8)
|
75% |
842
9.67 IPS |
|
|
Text Classification (F32)
|
100% |
1255
496.5 IPS |
|
|
Text Classification (F16)
|
100% |
1195
472.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1969
303.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1968
303.3 IPS |
