iPhone SE (3rd generation)
Geekbench AI Score
3212
Single Precision Score
18641
Half Precision Score
20983
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 20 2025 01:36 AM |
| Views | 2 |
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% |
1265
235.3 IPS |
|
|
Image Classification (HP)
|
100% |
7108
1.32 KIPS |
|
|
Image Classification (Q)
|
96% |
8361
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13422
217.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
15660
253.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6209
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
77742
90.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
80889
94.8 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.3 IPS |
|
|
Object Detection (HP)
|
99% |
10787
858.1 IPS |
|
|
Object Detection (Q)
|
91% |
12116
968.1 IPS |
|
|
Face Detection (SP)
|
100% |
2735
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
24814
294.8 IPS |
|
|
Face Detection (Q)
|
100% |
30976
368.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5260
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
56102
432.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
76346
596.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17598
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
148988
191.5 IPS |
|
|
Style Transfer (Q)
|
96% |
144424
186.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3659
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27257
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28084
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2564
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1785
2.38 KIPS |
|
|
Text Classification (Q)
|
93% |
1922
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3510
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6277
108.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6996
120.9 IPS |
