iPhone SE (3rd generation)
Geekbench AI Score
3086
Single Precision Score
5643
Half Precision Score
4549
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 28 2025 08:25 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% |
1272
236.5 IPS |
|
|
Image Classification (HP)
|
100% |
2413
448.7 IPS |
|
|
Image Classification (Q)
|
96% |
1682
314.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2448
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5851
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
13805
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11194
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1251
99.2 IPS |
|
|
Object Detection (HP)
|
97% |
2622
208.8 IPS |
|
|
Object Detection (Q)
|
94% |
1858
148.1 IPS |
|
|
Face Detection (SP)
|
100% |
2624
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
5398
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
3020
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5053
38.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10432
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7157
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16200
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25758
33.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20889
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3487
128.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4675
172.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3557
131.4 IPS |
|
|
Text Classification (SP)
|
100% |
2555
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
4338
5.79 KIPS |
|
|
Text Classification (Q)
|
93% |
4299
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6461
111.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6424
111.0 IPS |
