iPhone SE (2nd generation)
Geekbench ML Score
635
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 06 2021 04:14 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.3 |
| 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% |
522
55.9 IPS |
|
|
Image Classification (F16)
|
100% |
503
53.9 IPS |
|
|
Image Classification (I8)
|
81% |
312
33.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
790
4.88 IPS |
|
|
Image Segmentation (F16)
|
100% |
787
4.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
908
5.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
133
0.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
173
0.70 IPS |
|
|
Pose Estimation (I8)
|
80% |
314
1.27 IPS |
|
|
Object Detection (F32)
|
100% |
758
26.6 IPS |
|
|
Object Detection (F16)
|
100% |
753
26.4 IPS |
|
|
Object Detection (I8)
|
52% |
556
19.5 IPS |
|
|
Face Detection (F32)
|
100% |
819
9.41 IPS |
|
|
Face Detection (F16)
|
100% |
848
9.74 IPS |
|
|
Face Detection (I8)
|
75% |
677
7.78 IPS |
|
|
Text Classification (F32)
|
100% |
1688
667.8 IPS |
|
|
Text Classification (F16)
|
100% |
1729
683.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1118
172.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1128
173.9 IPS |
