iPhone SE (3rd generation)
Geekbench AI Score
3177
Single Precision Score
5593
Half Precision Score
4523
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 08:54 AM |
| Views | 2 |
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% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
2368
440.4 IPS |
|
|
Image Classification (Q)
|
96% |
1634
305.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2445
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6080
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
13456
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11170
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1364
108.2 IPS |
|
|
Object Detection (HP)
|
97% |
2627
209.1 IPS |
|
|
Object Detection (Q)
|
94% |
1870
149.0 IPS |
|
|
Face Detection (SP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5432
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3002
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5117
39.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10361
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7166
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16265
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26334
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21661
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3704
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4710
173.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3549
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4218
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4205
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3572
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6203
107.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6188
106.9 IPS |
