iPhone SE (2nd generation)
Geekbench AI Score
1728
Single Precision Score
3111
Half Precision Score
2566
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 12 2026 12:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPhone SE (2nd generation) |
| Model ID | iPhone12,8 |
| Motherboard | D79AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
799
148.6 IPS |
|
|
Image Classification (HP)
|
100% |
1337
248.6 IPS |
|
|
Image Classification (Q)
|
96% |
970
181.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
847
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1462
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3610
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6482
7.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
5535
6.49 IPS |
|
|
Object Detection (SP)
|
100% |
771
61.1 IPS |
|
|
Object Detection (HP)
|
97% |
1576
125.5 IPS |
|
|
Object Detection (Q)
|
94% |
1164
92.8 IPS |
|
|
Face Detection (SP)
|
100% |
1656
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
3210
38.1 IPS |
|
|
Face Detection (Q)
|
100% |
1809
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3017
23.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5862
45.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4221
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6960
8.95 IPS |
|
|
Style Transfer (HP)
|
100% |
14150
18.2 IPS |
|
|
Style Transfer (Q)
|
96% |
11823
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2057
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2690
99.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2167
80.0 IPS |
|
|
Text Classification (SP)
|
100% |
1402
1.87 KIPS |
|
|
Text Classification (HP)
|
99% |
2264
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2247
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3078
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3082
53.3 IPS |
