iPhone SE (3rd generation)
Geekbench ML Score
4608
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 10:12 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| 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% |
564
105.5 IPS |
|
|
Image Classification (F16)
|
100% |
5091
952.7 IPS |
|
|
Image Classification (I8)
|
99% |
5870
1.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1140
19.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1674
28.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1703
28.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
8751
10.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
72230
87.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
67586
81.8 IPS |
|
|
Object Detection (F32)
|
100% |
1045
78.0 IPS |
|
|
Object Detection (F16)
|
100% |
3454
257.9 IPS |
|
|
Object Detection (I8)
|
97% |
984
73.5 IPS |
|
|
Face Detection (F32)
|
100% |
3847
45.7 IPS |
|
|
Face Detection (F16)
|
97% |
11030
131.1 IPS |
|
|
Face Detection (I8)
|
96% |
10756
127.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7168
55.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
30359
235.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
34836
270.1 IPS |
|
|
Style Transfer (F32)
|
100% |
16084
21.2 IPS |
|
|
Style Transfer (F16)
|
100% |
98807
130.0 IPS |
|
|
Style Transfer (I8)
|
100% |
112903
148.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2966
105.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13907
496.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
13744
490.8 IPS |
|
|
Text Classification (F32)
|
100% |
383
550.2 IPS |
|
|
Text Classification (F16)
|
100% |
841
1.21 KIPS |
|
|
Text Classification (I8)
|
96% |
334
480.7 IPS |
|
|
Machine Translation (F32)
|
100% |
487
8.97 IPS |
|
|
Machine Translation (F16)
|
100% |
1143
21.0 IPS |
|
|
Machine Translation (I8)
|
99% |
461
8.48 IPS |
