iPhone SE (3rd generation)
Geekbench AI Score
3201
Single Precision Score
5618
Half Precision Score
4550
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 23 2025 10:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
1342
249.5 IPS |
|
|
Image Classification (HP)
|
100% |
2372
441.2 IPS |
|
|
Image Classification (Q)
|
96% |
1644
307.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2423
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6242
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
13586
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11448
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1337
106.0 IPS |
|
|
Object Detection (HP)
|
97% |
2625
209.0 IPS |
|
|
Object Detection (Q)
|
94% |
1862
148.4 IPS |
|
|
Face Detection (SP)
|
100% |
2692
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5452
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3052
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5260
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10375
80.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7215
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16590
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26614
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21767
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3695
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4738
175.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3568
131.7 IPS |
|
|
Text Classification (SP)
|
100% |
2461
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4263
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4261
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3615
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6190
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6150
106.3 IPS |
