iPhone SE (3rd generation)
Geekbench ML Score
4636
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 04 2024 08:26 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
719
134.6 IPS |
|
|
Image Classification (F16)
|
100% |
5282
988.5 IPS |
|
|
Image Classification (I8)
|
99% |
5643
1.06 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1117
18.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1625
27.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1669
27.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
9039
10.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
77433
93.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
65994
79.9 IPS |
|
|
Object Detection (F32)
|
100% |
838
62.6 IPS |
|
|
Object Detection (F16)
|
100% |
3466
258.8 IPS |
|
|
Object Detection (I8)
|
97% |
757
56.5 IPS |
|
|
Face Detection (F32)
|
100% |
4039
48.0 IPS |
|
|
Face Detection (F16)
|
97% |
10117
120.3 IPS |
|
|
Face Detection (I8)
|
96% |
9621
114.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6312
48.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
36404
282.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
37380
289.9 IPS |
|
|
Style Transfer (F32)
|
100% |
16686
21.9 IPS |
|
|
Style Transfer (F16)
|
100% |
106168
139.7 IPS |
|
|
Style Transfer (I8)
|
100% |
104104
136.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3184
113.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15513
554.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15227
543.8 IPS |
|
|
Text Classification (F32)
|
100% |
377
541.5 IPS |
|
|
Text Classification (F16)
|
100% |
950
1.37 KIPS |
|
|
Text Classification (I8)
|
96% |
347
498.8 IPS |
|
|
Machine Translation (F32)
|
100% |
472
8.69 IPS |
|
|
Machine Translation (F16)
|
100% |
1135
20.9 IPS |
|
|
Machine Translation (I8)
|
99% |
472
8.68 IPS |
