iPhone SE (2nd generation)
Geekbench ML Score
1745
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 10 2024 05:14 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.6.1 |
| 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 | 2.89 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4090
438.2 IPS |
|
|
Image Classification (F16)
|
100% |
4128
442.3 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1633
10.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1629
10.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
819
5.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
8764
35.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
8680
35.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
154
0.62 IPS |
|
|
Object Detection (F32)
|
94% |
5062
177.6 IPS |
|
|
Object Detection (F16)
|
94% |
4975
174.6 IPS |
|
|
Object Detection (I8)
|
52% |
627
22.0 IPS |
|
|
Face Detection (F32)
|
67% |
5273
60.6 IPS |
|
|
Face Detection (F16)
|
67% |
5463
62.8 IPS |
|
|
Face Detection (I8)
|
75% |
601
6.90 IPS |
|
|
Text Classification (F32)
|
100% |
722
285.6 IPS |
|
|
Text Classification (F16)
|
100% |
727
287.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1193
183.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1189
183.2 IPS |
