iPhone SE (3rd generation)
Geekbench AI Score
3199
Single Precision Score
20024
Half Precision Score
22566
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 16 2025 09:27 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1268
235.8 IPS |
|
|
Image Classification (HP)
|
100% |
7320
1.36 KIPS |
|
|
Image Classification (Q)
|
96% |
9913
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1292
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13372
216.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15607
253.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6233
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
83020
96.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
94642
110.9 IPS |
|
|
Object Detection (SP)
|
100% |
1364
108.2 IPS |
|
|
Object Detection (HP)
|
99% |
11009
875.7 IPS |
|
|
Object Detection (Q)
|
91% |
12623
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
2709
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
28454
338.1 IPS |
|
|
Face Detection (Q)
|
100% |
36859
438.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5243
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
58482
450.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
67231
525.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17323
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
151724
195.0 IPS |
|
|
Style Transfer (Q)
|
96% |
146151
188.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3652
134.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29271
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28418
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2577
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2497
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2427
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3482
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6278
108.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7418
128.2 IPS |
