iPhone SE (3rd generation)
Geekbench ML Score
4493
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 09 2024 09:53 AM |
| 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% |
832
155.6 IPS |
|
|
Image Classification (F16)
|
100% |
5079
950.5 IPS |
|
|
Image Classification (I8)
|
99% |
4783
895.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1181
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1684
28.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1702
28.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
9001
10.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
71681
86.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
58122
70.4 IPS |
|
|
Object Detection (F32)
|
100% |
721
53.8 IPS |
|
|
Object Detection (F16)
|
100% |
3407
254.4 IPS |
|
|
Object Detection (I8)
|
97% |
791
59.1 IPS |
|
|
Face Detection (F32)
|
100% |
3220
38.3 IPS |
|
|
Face Detection (F16)
|
97% |
9800
116.5 IPS |
|
|
Face Detection (I8)
|
96% |
9730
115.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6472
50.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
30817
239.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
32132
249.2 IPS |
|
|
Style Transfer (F32)
|
100% |
16711
22.0 IPS |
|
|
Style Transfer (F16)
|
100% |
96113
126.4 IPS |
|
|
Style Transfer (I8)
|
100% |
106123
139.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3059
109.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14505
518.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14802
528.6 IPS |
|
|
Text Classification (F32)
|
100% |
356
511.7 IPS |
|
|
Text Classification (F16)
|
100% |
972
1.40 KIPS |
|
|
Text Classification (I8)
|
96% |
352
505.9 IPS |
|
|
Machine Translation (F32)
|
100% |
512
9.42 IPS |
|
|
Machine Translation (F16)
|
100% |
1156
21.3 IPS |
|
|
Machine Translation (I8)
|
99% |
476
8.76 IPS |
