iPhone SE (2nd generation)
Geekbench ML Score
1141
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 21 2024 02:42 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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 |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| 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 | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
534
99.9 IPS |
|
|
Image Classification (F16)
|
100% |
634
118.7 IPS |
|
|
Image Classification (I8)
|
99% |
631
118.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
303
5.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
300
5.02 IPS |
|
|
Image Segmentation (I8)
|
100% |
299
4.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
3049
3.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
5402
6.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
5373
6.51 IPS |
|
|
Object Detection (F32)
|
100% |
561
41.9 IPS |
|
|
Object Detection (F16)
|
100% |
723
54.0 IPS |
|
|
Object Detection (I8)
|
97% |
563
42.0 IPS |
|
|
Face Detection (F32)
|
100% |
1126
13.4 IPS |
|
|
Face Detection (F16)
|
100% |
1132
13.5 IPS |
|
|
Face Detection (I8)
|
99% |
1134
13.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2028
15.7 IPS |
|
|
Depth Estimation (F16)
|
99% |
2526
19.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
2533
19.6 IPS |
|
|
Style Transfer (F32)
|
100% |
5612
7.38 IPS |
|
|
Style Transfer (F16)
|
100% |
7724
10.2 IPS |
|
|
Style Transfer (I8)
|
100% |
7717
10.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1753
62.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1740
62.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1734
61.9 IPS |
|
|
Text Classification (F32)
|
100% |
653
938.1 IPS |
|
|
Text Classification (F16)
|
100% |
406
583.3 IPS |
|
|
Text Classification (I8)
|
96% |
393
564.2 IPS |
|
|
Machine Translation (F32)
|
100% |
484
8.91 IPS |
|
|
Machine Translation (F16)
|
99% |
592
10.9 IPS |
|
|
Machine Translation (I8)
|
99% |
459
8.45 IPS |
