iPhone SE (3rd generation)
Geekbench AI Score
3064
Single Precision Score
5604
Half Precision Score
4533
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 01 2026 12:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1197
222.6 IPS |
|
|
Image Classification (HP)
|
100% |
2391
444.7 IPS |
|
|
Image Classification (Q)
|
96% |
1670
311.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1861
30.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2176
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5351
6.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
13301
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11076
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1246
98.8 IPS |
|
|
Object Detection (HP)
|
97% |
2605
207.4 IPS |
|
|
Object Detection (Q)
|
94% |
1862
148.4 IPS |
|
|
Face Detection (SP)
|
100% |
2666
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5468
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3105
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5199
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10551
81.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7370
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16600
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26406
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21553
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3528
130.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4733
174.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3647
134.7 IPS |
|
|
Text Classification (SP)
|
100% |
2544
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4178
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4111
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6588
113.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6615
114.3 IPS |
