iPhone SE (3rd generation)
Geekbench AI Score
2994
Single Precision Score
3089
Half Precision Score
2940
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | hisyho |
| Upload Date | July 24 2025 02:25 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
963
179.1 IPS |
|
|
Image Classification (HP)
|
100% |
896
166.6 IPS |
|
|
Image Classification (Q)
|
96% |
844
157.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2271
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2239
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9299
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6844
7.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
8515
9.97 IPS |
|
|
Object Detection (SP)
|
100% |
1137
90.2 IPS |
|
|
Object Detection (HP)
|
100% |
1024
81.2 IPS |
|
|
Object Detection (Q)
|
92% |
860
68.7 IPS |
|
|
Face Detection (SP)
|
100% |
4345
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
4939
58.7 IPS |
|
|
Face Detection (Q)
|
100% |
3903
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6540
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6519
50.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6283
49.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16686
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16180
20.8 IPS |
|
|
Style Transfer (Q)
|
96% |
14852
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2906
107.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2847
105.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2664
98.4 IPS |
|
|
Text Classification (SP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4247
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4224
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
852
14.7 IPS |
