iPhone SE (2nd generation)
Geekbench ML Score
682
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 24 2021 01:36 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| Model | iPhone SE (2nd generation) |
| Model ID | iPhone12,8 |
| Motherboard | D79AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.89 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
549
58.9 IPS |
|
|
Image Classification (F16)
|
100% |
532
57.0 IPS |
|
|
Image Classification (I8)
|
81% |
310
33.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
861
5.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
836
5.16 IPS |
|
|
Image Segmentation (I8)
|
89% |
1089
6.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
268
1.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
112
0.45 IPS |
|
|
Pose Estimation (I8)
|
80% |
302
1.22 IPS |
|
|
Object Detection (F32)
|
100% |
786
27.6 IPS |
|
|
Object Detection (F16)
|
100% |
778
27.3 IPS |
|
|
Object Detection (I8)
|
52% |
614
21.5 IPS |
|
|
Face Detection (F32)
|
100% |
868
9.98 IPS |
|
|
Face Detection (F16)
|
100% |
891
10.2 IPS |
|
|
Face Detection (I8)
|
75% |
711
8.17 IPS |
|
|
Text Classification (F32)
|
100% |
1999
790.8 IPS |
|
|
Text Classification (F16)
|
100% |
1909
755.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1187
182.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1181
182.1 IPS |
