iPhone SE (3rd generation)
Geekbench AI Score
3225
Single Precision Score
20910
Half Precision Score
23500
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 16 2025 07:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 3.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1329
247.2 IPS |
|
|
Image Classification (HP)
|
100% |
9016
1.68 KIPS |
|
|
Image Classification (Q)
|
96% |
11049
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1303
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13339
216.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15078
244.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6214
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
92002
107.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
95118
111.5 IPS |
|
|
Object Detection (SP)
|
100% |
1410
111.9 IPS |
|
|
Object Detection (HP)
|
99% |
10672
849.0 IPS |
|
|
Object Detection (Q)
|
91% |
12609
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
2730
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
28941
343.9 IPS |
|
|
Face Detection (Q)
|
100% |
36151
429.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5238
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
57285
441.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
75130
587.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16585
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
167375
215.2 IPS |
|
|
Style Transfer (Q)
|
96% |
152716
197.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3767
139.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29542
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31156
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2466
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2493
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2629
3.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3644
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6623
114.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7570
130.8 IPS |
