iPhone SE (2nd generation)
Geekbench AI Score
1692
Single Precision Score
3120
Half Precision Score
2566
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 02:16 AM |
| Views | 2 |
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% |
797
148.3 IPS |
|
|
Image Classification (HP)
|
100% |
1336
248.5 IPS |
|
|
Image Classification (Q)
|
96% |
972
181.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
847
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1455
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3538
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
6398
7.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
5690
6.67 IPS |
|
|
Object Detection (SP)
|
100% |
778
61.7 IPS |
|
|
Object Detection (HP)
|
97% |
1573
125.2 IPS |
|
|
Object Detection (Q)
|
94% |
1148
91.5 IPS |
|
|
Face Detection (SP)
|
100% |
1449
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
3109
36.9 IPS |
|
|
Face Detection (Q)
|
100% |
1739
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2887
22.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5802
44.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4161
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6966
8.95 IPS |
|
|
Style Transfer (HP)
|
100% |
14219
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11970
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1977
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2763
102.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2144
79.2 IPS |
|
|
Text Classification (SP)
|
100% |
1394
1.86 KIPS |
|
|
Text Classification (HP)
|
99% |
2348
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2333
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3140
54.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3104
53.6 IPS |
