iPhone SE (3rd generation)
Geekbench AI Score
1559
Single Precision Score
2656
Half Precision Score
2137
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | andreadandrea |
| Upload Date | October 19 2025 01:10 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 3.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
568
105.7 IPS |
|
|
Image Classification (HP)
|
100% |
1040
193.4 IPS |
|
|
Image Classification (Q)
|
96% |
719
134.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
683
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
976
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1126
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2958
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
6488
7.57 IPS |
|
|
Pose Estimation (Q)
|
95% |
5504
6.45 IPS |
|
|
Object Detection (SP)
|
100% |
644
51.1 IPS |
|
|
Object Detection (HP)
|
97% |
1189
94.7 IPS |
|
|
Object Detection (Q)
|
94% |
850
67.8 IPS |
|
|
Face Detection (SP)
|
100% |
1560
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
2546
30.2 IPS |
|
|
Face Detection (Q)
|
100% |
1447
17.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2294
17.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4529
35.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
3178
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7867
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12496
16.1 IPS |
|
|
Style Transfer (Q)
|
96% |
10319
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1815
67.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2301
85.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1657
61.2 IPS |
|
|
Text Classification (SP)
|
100% |
1178
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2088
2.79 KIPS |
|
|
Text Classification (Q)
|
93% |
2072
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1912
32.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3227
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3226
55.7 IPS |
