iPhone SE (3rd generation)
Geekbench AI Score
3218
Single Precision Score
18652
Half Precision Score
21051
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 03 2025 04:11 AM |
| Views | 14 |
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% |
1269
236.0 IPS |
|
|
Image Classification (HP)
|
100% |
7892
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
8861
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13005
210.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12734
206.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6196
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
80196
93.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
80668
94.5 IPS |
|
|
Object Detection (SP)
|
100% |
1376
109.1 IPS |
|
|
Object Detection (HP)
|
99% |
10298
819.2 IPS |
|
|
Object Detection (Q)
|
91% |
12051
962.9 IPS |
|
|
Face Detection (SP)
|
100% |
2711
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
25140
298.7 IPS |
|
|
Face Detection (Q)
|
100% |
33696
400.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5215
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
55310
426.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
76516
597.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17466
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
145683
187.3 IPS |
|
|
Style Transfer (Q)
|
96% |
144006
185.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3754
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29709
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29253
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2564
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1655
2.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2065
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3519
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6039
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6948
120.1 IPS |
