iPhone SE (2nd generation)
Geekbench ML Score
1394
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 17 2021 05:52 AM |
| Views | 11 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1341
143.7 IPS |
|
|
Image Classification (F16)
|
100% |
1616
173.1 IPS |
|
|
Image Classification (I8)
|
81% |
449
48.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
3450
21.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
5324
32.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
836
5.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
1421
5.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
4430
17.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
154
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
1566
55.0 IPS |
|
|
Object Detection (F16)
|
99% |
1862
65.4 IPS |
|
|
Object Detection (I8)
|
52% |
641
22.5 IPS |
|
|
Face Detection (F32)
|
100% |
3621
41.6 IPS |
|
|
Face Detection (F16)
|
97% |
5352
61.5 IPS |
|
|
Face Detection (I8)
|
75% |
630
7.24 IPS |
|
|
Text Classification (F32)
|
100% |
961
380.2 IPS |
|
|
Text Classification (F16)
|
98% |
1212
479.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1193
183.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1204
185.5 IPS |
