iPhone SE (3rd generation)
Geekbench AI Score
2653
Single Precision Score
5040
Half Precision Score
4349
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 02:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1236
229.8 IPS |
|
|
Image Classification (HP)
|
100% |
2408
447.7 IPS |
|
|
Image Classification (Q)
|
96% |
1671
312.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1206
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2111
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4558
5.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
11084
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9605
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
979
77.7 IPS |
|
|
Object Detection (HP)
|
97% |
2302
183.3 IPS |
|
|
Object Detection (Q)
|
94% |
1785
142.3 IPS |
|
|
Face Detection (SP)
|
100% |
2269
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
5276
62.7 IPS |
|
|
Face Detection (Q)
|
100% |
3022
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4416
34.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9893
76.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6744
52.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12248
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24790
31.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21284
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2971
109.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4898
180.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3635
134.2 IPS |
|
|
Text Classification (SP)
|
100% |
2576
3.44 KIPS |
|
|
Text Classification (HP)
|
99% |
2731
3.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4170
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2774
47.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6092
105.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6099
105.4 IPS |
