iPhone SE (3rd generation)
Geekbench AI Score
1285
Single Precision Score
2352
Half Precision Score
1946
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 08 2025 03:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 |
| Memory Information | |
|---|---|
| Size | 3.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
397
73.9 IPS |
|
|
Image Classification (HP)
|
100% |
952
177.0 IPS |
|
|
Image Classification (Q)
|
96% |
667
124.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
533
8.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1036
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2129
2.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
5887
6.87 IPS |
|
|
Pose Estimation (Q)
|
95% |
5128
6.01 IPS |
|
|
Object Detection (SP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (HP)
|
97% |
1094
87.1 IPS |
|
|
Object Detection (Q)
|
94% |
792
63.1 IPS |
|
|
Face Detection (SP)
|
100% |
1334
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
2397
28.5 IPS |
|
|
Face Detection (Q)
|
100% |
1382
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2332
18.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4622
35.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
3169
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4998
6.42 IPS |
|
|
Style Transfer (HP)
|
100% |
11268
14.5 IPS |
|
|
Style Transfer (Q)
|
96% |
9278
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1655
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2014
74.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1421
52.5 IPS |
|
|
Text Classification (SP)
|
100% |
1091
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1909
2.55 KIPS |
|
|
Text Classification (Q)
|
93% |
1916
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1609
27.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2517
43.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2513
43.4 IPS |
