iPhone SE (3rd generation)
Geekbench AI Score
1571
Single Precision Score
11779
Half Precision Score
12901
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 08:10 PM |
| Views | 1 |
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% |
582
108.2 IPS |
|
|
Image Classification (HP)
|
100% |
5956
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
6143
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
688
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7616
123.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9359
151.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2958
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
38035
44.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
38067
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
646
51.2 IPS |
|
|
Object Detection (HP)
|
99% |
6172
491.0 IPS |
|
|
Object Detection (Q)
|
91% |
6319
504.9 IPS |
|
|
Face Detection (SP)
|
100% |
1573
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
14408
171.2 IPS |
|
|
Face Detection (Q)
|
100% |
18452
219.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2438
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35104
270.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
40130
313.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7926
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
77477
99.6 IPS |
|
|
Style Transfer (Q)
|
96% |
75432
97.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1766
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15397
568.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18424
680.3 IPS |
|
|
Text Classification (SP)
|
100% |
1174
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1789
2.39 KIPS |
|
|
Text Classification (Q)
|
93% |
1909
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1902
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4476
77.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4701
81.2 IPS |
