iPhone SE (2nd generation)
Geekbench ML Score
1069
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 30 2025 04:37 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.3.1 |
| 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% |
541
101.2 IPS |
|
|
Image Classification (F16)
|
100% |
633
118.5 IPS |
|
|
Image Classification (I8)
|
99% |
627
117.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
376
6.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
377
6.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
358
5.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
2414
2.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
4871
5.90 IPS |
|
|
Pose Estimation (I8)
|
100% |
4889
5.92 IPS |
|
|
Object Detection (F32)
|
100% |
508
37.9 IPS |
|
|
Object Detection (F16)
|
100% |
655
48.9 IPS |
|
|
Object Detection (I8)
|
97% |
469
35.0 IPS |
|
|
Face Detection (F32)
|
100% |
827
9.83 IPS |
|
|
Face Detection (F16)
|
100% |
888
10.6 IPS |
|
|
Face Detection (I8)
|
99% |
880
10.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
1422
11.0 IPS |
|
|
Depth Estimation (F16)
|
99% |
2258
17.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
2087
16.2 IPS |
|
|
Style Transfer (F32)
|
100% |
3991
5.25 IPS |
|
|
Style Transfer (F16)
|
100% |
6387
8.40 IPS |
|
|
Style Transfer (I8)
|
100% |
6366
8.37 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1062
37.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1623
58.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1630
58.2 IPS |
|
|
Text Classification (F32)
|
100% |
619
890.3 IPS |
|
|
Text Classification (F16)
|
100% |
383
550.9 IPS |
|
|
Text Classification (I8)
|
96% |
393
564.5 IPS |
|
|
Machine Translation (F32)
|
100% |
643
11.8 IPS |
|
|
Machine Translation (F16)
|
99% |
956
17.6 IPS |
|
|
Machine Translation (I8)
|
99% |
688
12.7 IPS |
