iPhone SE (3rd generation)
Geekbench AI Score
3040
Single Precision Score
3269
Half Precision Score
3116
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 30 2025 03:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1036
192.8 IPS |
|
|
Image Classification (HP)
|
100% |
954
177.5 IPS |
|
|
Image Classification (Q)
|
96% |
867
161.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2380
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2243
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9300
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10332
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9947
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1009
80.1 IPS |
|
|
Object Detection (HP)
|
100% |
751
59.6 IPS |
|
|
Object Detection (Q)
|
92% |
952
76.0 IPS |
|
|
Face Detection (SP)
|
100% |
4305
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
5026
59.7 IPS |
|
|
Face Detection (Q)
|
100% |
4096
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7316
56.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6879
53.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6421
50.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16538
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19326
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
18906
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2840
104.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2937
108.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2639
97.4 IPS |
|
|
Text Classification (SP)
|
100% |
2527
3.37 KIPS |
|
|
Text Classification (HP)
|
99% |
4221
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4170
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
859
14.9 IPS |
