iPhone SE (3rd generation)
Geekbench ML Score
4606
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 07 2024 02:08 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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% |
817
152.8 IPS |
|
|
Image Classification (F16)
|
100% |
3812
713.3 IPS |
|
|
Image Classification (I8)
|
99% |
5503
1.03 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1127
18.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1691
28.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1705
28.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
9067
11.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
74683
90.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
77046
93.3 IPS |
|
|
Object Detection (F32)
|
100% |
772
57.6 IPS |
|
|
Object Detection (F16)
|
100% |
3440
256.8 IPS |
|
|
Object Detection (I8)
|
97% |
972
72.6 IPS |
|
|
Face Detection (F32)
|
100% |
3754
44.6 IPS |
|
|
Face Detection (F16)
|
97% |
10266
122.1 IPS |
|
|
Face Detection (I8)
|
96% |
10860
129.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6023
46.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
31872
247.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
34811
270.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16691
22.0 IPS |
|
|
Style Transfer (F16)
|
100% |
98328
129.3 IPS |
|
|
Style Transfer (I8)
|
100% |
108580
142.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2869
102.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14993
535.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15793
564.0 IPS |
|
|
Text Classification (F32)
|
100% |
381
547.2 IPS |
|
|
Text Classification (F16)
|
100% |
858
1.23 KIPS |
|
|
Text Classification (I8)
|
96% |
351
503.9 IPS |
|
|
Machine Translation (F32)
|
100% |
497
9.15 IPS |
|
|
Machine Translation (F16)
|
100% |
1173
21.6 IPS |
|
|
Machine Translation (I8)
|
99% |
470
8.65 IPS |
