iPhone SE (3rd generation)
Geekbench AI Score
3184
Single Precision Score
5598
Half Precision Score
4510
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 07:28 PM |
| Views | 4 |
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% |
1305
242.7 IPS |
|
|
Image Classification (HP)
|
100% |
2372
441.2 IPS |
|
|
Image Classification (Q)
|
96% |
1626
303.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2420
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6231
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
13693
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11287
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (HP)
|
97% |
2652
211.1 IPS |
|
|
Object Detection (Q)
|
94% |
1856
148.0 IPS |
|
|
Face Detection (SP)
|
100% |
2658
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5395
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
3024
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5150
39.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10312
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7169
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16750
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26982
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21822
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3699
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4754
175.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3556
131.3 IPS |
|
|
Text Classification (SP)
|
100% |
2405
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4148
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4139
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3551
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6050
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6076
105.0 IPS |
