iPhone SE (2nd generation)
Geekbench AI Score
1586
Single Precision Score
2901
Half Precision Score
2392
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 11 2025 06:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
793
147.5 IPS |
|
|
Image Classification (HP)
|
100% |
1336
248.5 IPS |
|
|
Image Classification (Q)
|
96% |
966
180.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
965
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1171
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3237
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
6219
7.26 IPS |
|
|
Pose Estimation (Q)
|
95% |
5403
6.33 IPS |
|
|
Object Detection (SP)
|
100% |
728
57.7 IPS |
|
|
Object Detection (HP)
|
97% |
1462
116.4 IPS |
|
|
Object Detection (Q)
|
94% |
1073
85.5 IPS |
|
|
Face Detection (SP)
|
100% |
1545
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
2975
35.3 IPS |
|
|
Face Detection (Q)
|
100% |
1666
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2568
19.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
5553
42.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4148
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6684
8.59 IPS |
|
|
Style Transfer (HP)
|
100% |
13665
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
11698
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1738
64.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2505
92.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1947
71.9 IPS |
|
|
Text Classification (SP)
|
100% |
1522
2.03 KIPS |
|
|
Text Classification (HP)
|
99% |
2261
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2254
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1224
21.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2826
48.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2641
45.6 IPS |
