iPhone SE (3rd generation)
Geekbench AI Score
3210
Single Precision Score
5636
Half Precision Score
4556
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 30 2025 04:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1322
245.9 IPS |
|
|
Image Classification (HP)
|
100% |
2339
435.1 IPS |
|
|
Image Classification (Q)
|
96% |
1612
301.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2421
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6334
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
13864
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11558
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1400
111.0 IPS |
|
|
Object Detection (HP)
|
97% |
2680
213.3 IPS |
|
|
Object Detection (Q)
|
94% |
1899
151.3 IPS |
|
|
Face Detection (SP)
|
100% |
2712
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
5446
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3078
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5145
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10248
79.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7177
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16843
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27162
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22161
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4690
173.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3576
132.1 IPS |
|
|
Text Classification (SP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4293
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4172
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3564
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6196
107.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6162
106.5 IPS |
