iPhone SE (3rd generation)
Geekbench AI Score
3078
Single Precision Score
19931
Half Precision Score
21689
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 04 2025 09:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 |
| Memory Information | |
|---|---|
| Size | 3.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1246
231.8 IPS |
|
|
Image Classification (HP)
|
100% |
7775
1.45 KIPS |
|
|
Image Classification (Q)
|
96% |
10242
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1277
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13326
216.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
14007
227.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5538
6.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
82288
96.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
83181
97.5 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (HP)
|
99% |
10846
862.8 IPS |
|
|
Object Detection (Q)
|
91% |
12114
968.0 IPS |
|
|
Face Detection (SP)
|
100% |
2629
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
28329
336.6 IPS |
|
|
Face Detection (Q)
|
100% |
36223
430.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5054
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
57768
445.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
65085
508.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15811
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
150384
193.3 IPS |
|
|
Style Transfer (Q)
|
96% |
143019
184.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3614
133.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29723
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27761
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2577
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2378
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3399
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6243
107.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7161
123.8 IPS |
