iPhone SE (3rd generation)
Geekbench AI Score
3319
Single Precision Score
19438
Half Precision Score
21739
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | timk |
| Upload Date | September 06 2025 10:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1362
253.3 IPS |
|
|
Image Classification (HP)
|
100% |
7404
1.38 KIPS |
|
|
Image Classification (Q)
|
96% |
9558
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12990
210.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14806
240.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6379
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
79743
93.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
80743
94.6 IPS |
|
|
Object Detection (SP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (HP)
|
99% |
10471
833.0 IPS |
|
|
Object Detection (Q)
|
91% |
11999
958.8 IPS |
|
|
Face Detection (SP)
|
100% |
2746
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
28385
337.3 IPS |
|
|
Face Detection (Q)
|
100% |
35880
426.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5332
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
57148
440.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
69054
539.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17317
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
144415
185.6 IPS |
|
|
Style Transfer (Q)
|
96% |
141481
182.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3816
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27430
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28737
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2410
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2413
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3736
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6193
106.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7074
122.3 IPS |
