iPhone SE (3rd generation)
Geekbench AI Score
2910
Single Precision Score
3032
Half Precision Score
2957
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 09:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
808
150.3 IPS |
|
|
Image Classification (HP)
|
100% |
569
105.8 IPS |
|
|
Image Classification (Q)
|
96% |
832
155.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2270
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2193
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9294
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10339
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9955
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1063
84.3 IPS |
|
|
Object Detection (HP)
|
100% |
1058
84.0 IPS |
|
|
Object Detection (Q)
|
92% |
865
69.1 IPS |
|
|
Face Detection (SP)
|
100% |
4257
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
4815
57.2 IPS |
|
|
Face Detection (Q)
|
100% |
4025
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6665
51.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6552
50.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6370
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15158
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15746
20.2 IPS |
|
|
Style Transfer (Q)
|
96% |
15449
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2867
105.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3006
111.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2681
99.0 IPS |
|
|
Text Classification (SP)
|
100% |
2446
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4227
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4231
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
797
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (Q)
|
98% |
726
12.5 IPS |
