iPhone SE (3rd generation)
Geekbench ML Score
3202
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 12:47 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone SE (3rd generation) |
| Model ID | iPhone14,6 |
| Motherboard | D49AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.80 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
584
109.2 IPS |
|
|
Image Classification (F16)
|
100% |
2608
488.1 IPS |
|
|
Image Classification (I8)
|
99% |
2922
546.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
825
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
931
15.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
930
15.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6338
7.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
31924
38.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
32389
39.2 IPS |
|
|
Object Detection (F32)
|
100% |
838
62.6 IPS |
|
|
Object Detection (F16)
|
100% |
2079
155.2 IPS |
|
|
Object Detection (I8)
|
97% |
1127
84.1 IPS |
|
|
Face Detection (F32)
|
100% |
3369
40.1 IPS |
|
|
Face Detection (F16)
|
97% |
4929
58.6 IPS |
|
|
Face Detection (I8)
|
96% |
4929
58.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6592
51.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
21488
166.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
21978
170.4 IPS |
|
|
Style Transfer (F32)
|
100% |
14430
19.0 IPS |
|
|
Style Transfer (F16)
|
100% |
57747
76.0 IPS |
|
|
Style Transfer (I8)
|
100% |
59496
78.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2851
101.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8282
295.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8376
299.1 IPS |
|
|
Text Classification (F32)
|
100% |
401
576.1 IPS |
|
|
Text Classification (F16)
|
100% |
855
1.23 KIPS |
|
|
Text Classification (I8)
|
96% |
311
447.5 IPS |
|
|
Machine Translation (F32)
|
100% |
358
6.58 IPS |
|
|
Machine Translation (F16)
|
100% |
1152
21.2 IPS |
|
|
Machine Translation (I8)
|
99% |
326
6.00 IPS |
