iPhone SE (3rd generation)
Geekbench ML Score
4591
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 10:22 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% |
804
150.5 IPS |
|
|
Image Classification (F16)
|
100% |
5087
951.9 IPS |
|
|
Image Classification (I8)
|
99% |
5905
1.11 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1117
18.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1665
27.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1695
28.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
8742
10.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
77333
93.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
58509
70.9 IPS |
|
|
Object Detection (F32)
|
100% |
1109
82.8 IPS |
|
|
Object Detection (F16)
|
100% |
3927
293.2 IPS |
|
|
Object Detection (I8)
|
97% |
1013
75.7 IPS |
|
|
Face Detection (F32)
|
100% |
3963
47.1 IPS |
|
|
Face Detection (F16)
|
97% |
9569
113.8 IPS |
|
|
Face Detection (I8)
|
96% |
9305
110.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5270
40.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
28640
222.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
37616
291.7 IPS |
|
|
Style Transfer (F32)
|
100% |
16136
21.2 IPS |
|
|
Style Transfer (F16)
|
100% |
99543
130.9 IPS |
|
|
Style Transfer (I8)
|
100% |
100075
131.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2929
104.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13934
497.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
13893
496.2 IPS |
|
|
Text Classification (F32)
|
100% |
382
548.8 IPS |
|
|
Text Classification (F16)
|
100% |
851
1.22 KIPS |
|
|
Text Classification (I8)
|
96% |
345
496.4 IPS |
|
|
Machine Translation (F32)
|
100% |
498
9.17 IPS |
|
|
Machine Translation (F16)
|
100% |
1136
20.9 IPS |
|
|
Machine Translation (I8)
|
99% |
468
8.61 IPS |
