iPhone SE (2nd generation)
Geekbench AI Score
1460
Single Precision Score
2942
Half Precision Score
2377
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 21 2025 02:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
801
148.9 IPS |
|
|
Image Classification (HP)
|
100% |
1353
251.6 IPS |
|
|
Image Classification (Q)
|
96% |
967
180.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
773
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1334
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3392
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
6159
7.19 IPS |
|
|
Pose Estimation (Q)
|
95% |
5554
6.51 IPS |
|
|
Object Detection (SP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (HP)
|
97% |
1539
122.5 IPS |
|
|
Object Detection (Q)
|
94% |
1130
90.1 IPS |
|
|
Face Detection (SP)
|
100% |
1514
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
3032
36.0 IPS |
|
|
Face Detection (Q)
|
100% |
1610
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2200
16.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
4962
38.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
3428
26.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4976
6.40 IPS |
|
|
Style Transfer (HP)
|
100% |
12899
16.6 IPS |
|
|
Style Transfer (Q)
|
96% |
10598
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1778
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2485
91.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1879
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
1290
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2181
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
2168
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3094
53.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2992
51.7 IPS |
