iPhone SE (3rd generation)
Geekbench AI Score
3077
Single Precision Score
3382
Half Precision Score
3036
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 30 2025 03:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 3.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
927
172.4 IPS |
|
|
Image Classification (HP)
|
100% |
926
172.1 IPS |
|
|
Image Classification (Q)
|
96% |
736
137.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2372
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2256
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9149
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10352
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9785
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1199
95.1 IPS |
|
|
Object Detection (HP)
|
100% |
1009
80.0 IPS |
|
|
Object Detection (Q)
|
92% |
852
68.0 IPS |
|
|
Face Detection (SP)
|
100% |
4538
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
5150
61.2 IPS |
|
|
Face Detection (Q)
|
100% |
4252
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7542
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8188
63.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
7437
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16555
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19572
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18563
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2705
99.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2811
103.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2637
97.4 IPS |
|
|
Text Classification (SP)
|
100% |
2597
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4136
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4126
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
754
13.0 IPS |
