iPhone SE (3rd generation)
Geekbench ML Score
4096
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 15 2024 03:03 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
574
107.5 IPS |
|
|
Image Classification (F16)
|
100% |
4854
908.3 IPS |
|
|
Image Classification (I8)
|
99% |
5052
945.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
806
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1113
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1118
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
7311
8.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
35267
42.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
35584
43.1 IPS |
|
|
Object Detection (F32)
|
100% |
831
62.1 IPS |
|
|
Object Detection (F16)
|
100% |
2617
195.4 IPS |
|
|
Object Detection (I8)
|
97% |
766
57.2 IPS |
|
|
Face Detection (F32)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (F16)
|
97% |
9008
107.1 IPS |
|
|
Face Detection (I8)
|
96% |
8976
106.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6514
50.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
29627
229.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
30809
238.9 IPS |
|
|
Style Transfer (F32)
|
100% |
14436
19.0 IPS |
|
|
Style Transfer (F16)
|
100% |
65018
85.5 IPS |
|
|
Style Transfer (I8)
|
100% |
64488
84.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2675
95.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15425
550.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15718
561.3 IPS |
|
|
Text Classification (F32)
|
100% |
1065
1.53 KIPS |
|
|
Text Classification (F16)
|
100% |
1707
2.45 KIPS |
|
|
Text Classification (I8)
|
96% |
1637
2.35 KIPS |
|
|
Machine Translation (F32)
|
100% |
252
4.64 IPS |
|
|
Machine Translation (F16)
|
100% |
987
18.2 IPS |
|
|
Machine Translation (I8)
|
99% |
238
4.38 IPS |
