iPhone SE (2nd generation)
Geekbench ML Score
666
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 09 2023 03:26 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.4.1 |
| 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 | 2.90 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
516
55.3 IPS |
|
|
Image Classification (F16)
|
100% |
513
55.0 IPS |
|
|
Image Classification (I8)
|
81% |
337
36.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
785
4.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
789
4.87 IPS |
|
|
Image Segmentation (I8)
|
89% |
1077
6.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
232
0.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
222
0.90 IPS |
|
|
Pose Estimation (I8)
|
80% |
309
1.25 IPS |
|
|
Object Detection (F32)
|
100% |
730
25.6 IPS |
|
|
Object Detection (F16)
|
100% |
729
25.6 IPS |
|
|
Object Detection (I8)
|
52% |
612
21.5 IPS |
|
|
Face Detection (F32)
|
100% |
871
10.0 IPS |
|
|
Face Detection (F16)
|
100% |
839
9.64 IPS |
|
|
Face Detection (I8)
|
75% |
673
7.73 IPS |
|
|
Text Classification (F32)
|
100% |
1690
668.4 IPS |
|
|
Text Classification (F16)
|
100% |
1729
684.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1007
155.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1009
155.5 IPS |
