iPhone SE (3rd generation)
Geekbench AI Score
3071
Single Precision Score
19940
Half Precision Score
22426
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 28 2025 08:29 AM |
| Views | 1 |
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
235.9 IPS |
|
|
Image Classification (HP)
|
100% |
8747
1.63 KIPS |
|
|
Image Classification (Q)
|
96% |
9909
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13620
220.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15356
248.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5713
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
89454
104.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
91344
107.1 IPS |
|
|
Object Detection (SP)
|
100% |
1276
101.2 IPS |
|
|
Object Detection (HP)
|
99% |
11354
903.2 IPS |
|
|
Object Detection (Q)
|
91% |
12102
967.0 IPS |
|
|
Face Detection (SP)
|
100% |
2615
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
28361
337.0 IPS |
|
|
Face Detection (Q)
|
100% |
36633
435.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4962
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
54533
420.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
70153
548.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15718
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
131917
169.6 IPS |
|
|
Style Transfer (Q)
|
96% |
151067
194.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3543
130.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27257
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28257
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2563
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2438
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3426
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6272
108.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7155
123.7 IPS |
