iPhone SE (3rd generation)
Geekbench AI Score
3268
Single Precision Score
19592
Half Precision Score
22285
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | touchstone |
| Upload Date | April 11 2025 08:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1356
252.1 IPS |
|
|
Image Classification (HP)
|
100% |
8746
1.63 KIPS |
|
|
Image Classification (Q)
|
96% |
9678
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12688
205.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14278
231.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6311
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
87709
102.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
93563
109.7 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
99% |
10930
869.5 IPS |
|
|
Object Detection (Q)
|
91% |
12143
970.2 IPS |
|
|
Face Detection (SP)
|
100% |
2750
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
25319
300.8 IPS |
|
|
Face Detection (Q)
|
100% |
32200
382.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5414
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
52146
401.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
77514
605.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17307
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
153276
197.0 IPS |
|
|
Style Transfer (Q)
|
96% |
154403
199.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3848
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26650
984.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28228
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2414
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3476
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6160
106.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7330
126.7 IPS |
