iPhone SE (2nd generation)
Geekbench AI Score
1606
Single Precision Score
3001
Half Precision Score
2458
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 11:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
840
156.2 IPS |
|
|
Image Classification (HP)
|
100% |
1358
252.6 IPS |
|
|
Image Classification (Q)
|
96% |
973
181.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
667
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1056
17.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1231
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3454
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
6186
7.22 IPS |
|
|
Pose Estimation (Q)
|
95% |
5527
6.48 IPS |
|
|
Object Detection (SP)
|
100% |
768
61.0 IPS |
|
|
Object Detection (HP)
|
97% |
1575
125.4 IPS |
|
|
Object Detection (Q)
|
94% |
1152
91.8 IPS |
|
|
Face Detection (SP)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (Q)
|
100% |
1816
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3008
23.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5830
45.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
4160
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6066
7.80 IPS |
|
|
Style Transfer (HP)
|
100% |
13046
16.8 IPS |
|
|
Style Transfer (Q)
|
96% |
10635
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1934
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2698
99.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2019
74.6 IPS |
|
|
Text Classification (SP)
|
100% |
1319
1.76 KIPS |
|
|
Text Classification (HP)
|
99% |
2248
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2235
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2912
50.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2913
50.3 IPS |
