iPhone SE (2nd generation)
Geekbench AI Score
1373
Single Precision Score
2851
Half Precision Score
2321
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 28 2025 10:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 2.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
708
131.7 IPS |
|
|
Image Classification (HP)
|
100% |
1299
241.6 IPS |
|
|
Image Classification (Q)
|
96% |
902
168.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
730
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1189
19.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1375
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2152
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
4458
5.20 IPS |
|
|
Pose Estimation (Q)
|
95% |
3909
4.58 IPS |
|
|
Object Detection (SP)
|
100% |
579
45.9 IPS |
|
|
Object Detection (HP)
|
97% |
1502
119.5 IPS |
|
|
Object Detection (Q)
|
94% |
1063
84.7 IPS |
|
|
Face Detection (SP)
|
100% |
1433
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (Q)
|
100% |
1644
19.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2317
17.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5442
42.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
3883
30.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5078
6.53 IPS |
|
|
Style Transfer (HP)
|
100% |
12517
16.1 IPS |
|
|
Style Transfer (Q)
|
96% |
10279
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1937
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2678
98.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2101
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1278
1.71 KIPS |
|
|
Text Classification (HP)
|
99% |
2135
2.85 KIPS |
|
|
Text Classification (Q)
|
93% |
2191
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
891
15.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2960
51.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2917
50.4 IPS |
