iPhone SE (3rd generation)
Geekbench AI Score
3305
Single Precision Score
20321
Half Precision Score
23447
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 07:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
1288
239.5 IPS |
|
|
Image Classification (HP)
|
100% |
8338
1.55 KIPS |
|
|
Image Classification (Q)
|
96% |
10622
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12568
203.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
15903
257.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6610
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
91141
106.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
94483
110.7 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
99% |
11352
903.0 IPS |
|
|
Object Detection (Q)
|
91% |
12437
993.8 IPS |
|
|
Face Detection (SP)
|
100% |
2771
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
28013
332.9 IPS |
|
|
Face Detection (Q)
|
100% |
35905
426.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5393
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
58972
454.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
82863
647.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17758
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
164119
211.0 IPS |
|
|
Style Transfer (Q)
|
96% |
148523
191.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3892
143.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25835
954.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30624
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2467
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2448
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
2450
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3716
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6459
111.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7632
131.9 IPS |
