iPhone SE (3rd generation)
Geekbench AI Score
3208
Single Precision Score
5655
Half Precision Score
4568
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 18 2025 06:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1303
242.3 IPS |
|
|
Image Classification (HP)
|
100% |
2359
438.8 IPS |
|
|
Image Classification (Q)
|
96% |
1628
303.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2430
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6197
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
13823
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11341
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1386
109.9 IPS |
|
|
Object Detection (HP)
|
97% |
2689
214.1 IPS |
|
|
Object Detection (Q)
|
94% |
1909
152.2 IPS |
|
|
Face Detection (SP)
|
100% |
2694
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5440
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
2986
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5229
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10471
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7226
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16889
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27304
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22351
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3758
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4733
174.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3600
132.9 IPS |
|
|
Text Classification (SP)
|
100% |
2451
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4245
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4235
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3591
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6238
107.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6287
108.6 IPS |
