iPhone SE (3rd generation)
Geekbench AI Score
3114
Single Precision Score
5663
Half Precision Score
4614
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 10:17 AM |
| Views | 1 |
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% |
1264
235.0 IPS |
|
|
Image Classification (HP)
|
100% |
2424
450.8 IPS |
|
|
Image Classification (Q)
|
96% |
1668
311.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1286
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1971
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2465
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5963
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
13766
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11597
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1312
104.1 IPS |
|
|
Object Detection (HP)
|
97% |
2696
214.7 IPS |
|
|
Object Detection (Q)
|
94% |
1922
153.2 IPS |
|
|
Face Detection (SP)
|
100% |
2627
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5506
65.4 IPS |
|
|
Face Detection (Q)
|
100% |
3082
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5129
39.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10445
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7284
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16495
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26592
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21906
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3526
130.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4729
174.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3614
133.5 IPS |
|
|
Text Classification (SP)
|
100% |
2526
3.37 KIPS |
|
|
Text Classification (HP)
|
99% |
4059
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4109
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3412
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6525
112.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6539
113.0 IPS |
