iPhone SE (3rd generation)
Geekbench AI Score
3211
Single Precision Score
5552
Half Precision Score
4542
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | SlippingStaff |
| Upload Date | December 06 2024 11:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1335
248.2 IPS |
|
|
Image Classification (HP)
|
100% |
2265
421.1 IPS |
|
|
Image Classification (Q)
|
96% |
1584
295.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1896
30.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2506
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6502
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
14016
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11894
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.5 IPS |
|
|
Object Detection (HP)
|
97% |
2673
212.8 IPS |
|
|
Object Detection (Q)
|
94% |
1889
150.6 IPS |
|
|
Face Detection (SP)
|
100% |
2773
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
5658
67.2 IPS |
|
|
Face Detection (Q)
|
100% |
3238
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5307
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11006
85.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7581
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15754
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26259
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21730
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3864
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4656
171.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3499
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4113
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4068
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3329
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5526
95.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5522
95.4 IPS |
