iPhone SE (3rd generation)
Geekbench AI Score
3235
Single Precision Score
5597
Half Precision Score
4507
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 10:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1353
251.6 IPS |
|
|
Image Classification (HP)
|
100% |
2361
439.1 IPS |
|
|
Image Classification (Q)
|
96% |
1624
303.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1330
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2013
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2487
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6347
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
13639
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11419
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
97% |
2668
212.4 IPS |
|
|
Object Detection (Q)
|
94% |
1895
151.0 IPS |
|
|
Face Detection (SP)
|
100% |
2729
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
5610
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
3103
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5272
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10910
84.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7509
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17071
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26681
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21737
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3820
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4617
170.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3375
124.6 IPS |
|
|
Text Classification (SP)
|
100% |
2406
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4140
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4095
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3451
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5594
96.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5658
97.8 IPS |
