iPhone SE (3rd generation)
Geekbench AI Score
2776
Single Precision Score
3179
Half Precision Score
3007
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 27 2025 12:05 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
582
108.2 IPS |
|
|
Image Classification (HP)
|
100% |
895
166.5 IPS |
|
|
Image Classification (Q)
|
96% |
858
160.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2266
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2347
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2205
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9269
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10325
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9978
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
896
71.1 IPS |
|
|
Object Detection (HP)
|
100% |
825
65.4 IPS |
|
|
Object Detection (Q)
|
92% |
833
66.5 IPS |
|
|
Face Detection (SP)
|
100% |
4245
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
5010
59.5 IPS |
|
|
Face Detection (Q)
|
100% |
4144
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6603
50.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6572
50.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6377
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16710
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19790
25.4 IPS |
|
|
Style Transfer (Q)
|
96% |
18850
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2863
105.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3015
111.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2515
92.9 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4213
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4221
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (Q)
|
98% |
727
12.6 IPS |
