iPhone SE (3rd generation)
Geekbench AI Score
3160
Single Precision Score
20548
Half Precision Score
22817
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 08 2026 09:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1264
235.1 IPS |
|
|
Image Classification (HP)
|
100% |
9174
1.71 KIPS |
|
|
Image Classification (Q)
|
96% |
10629
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1286
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13661
221.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
15186
246.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6080
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
78773
91.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
94291
110.5 IPS |
|
|
Object Detection (SP)
|
100% |
1352
107.2 IPS |
|
|
Object Detection (HP)
|
99% |
11356
903.4 IPS |
|
|
Object Detection (Q)
|
91% |
12286
981.7 IPS |
|
|
Face Detection (SP)
|
100% |
2715
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
28606
339.9 IPS |
|
|
Face Detection (Q)
|
100% |
36539
434.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5100
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
58064
447.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
66545
520.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17109
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
147574
189.7 IPS |
|
|
Style Transfer (Q)
|
96% |
144549
186.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3610
133.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29647
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29701
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2511
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2556
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3471
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6829
117.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7669
132.5 IPS |
