iPhone SE (2nd generation)
Geekbench AI Score
1738
Single Precision Score
3122
Half Precision Score
2586
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 03:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
796
148.1 IPS |
|
|
Image Classification (HP)
|
100% |
1334
248.0 IPS |
|
|
Image Classification (Q)
|
96% |
966
180.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
847
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1241
20.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1454
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3628
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
6686
7.80 IPS |
|
|
Pose Estimation (Q)
|
95% |
5870
6.88 IPS |
|
|
Object Detection (SP)
|
100% |
780
61.9 IPS |
|
|
Object Detection (HP)
|
97% |
1572
125.1 IPS |
|
|
Object Detection (Q)
|
94% |
1156
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
1659
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
3174
37.7 IPS |
|
|
Face Detection (Q)
|
100% |
1835
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3098
23.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5863
45.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4235
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7240
9.31 IPS |
|
|
Style Transfer (HP)
|
100% |
14226
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11933
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2020
74.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2719
100.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2158
79.7 IPS |
|
|
Text Classification (SP)
|
100% |
1407
1.88 KIPS |
|
|
Text Classification (HP)
|
99% |
2272
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2274
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3100
53.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3090
53.4 IPS |
