iPhone SE (2nd generation)
Geekbench AI Score
1178
Single Precision Score
3646
Half Precision Score
716
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 02:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
551
102.5 IPS |
|
|
Image Classification (HP)
|
100% |
2963
551.0 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
497
8.05 IPS |
|
|
Image Segmentation (Q)
|
99% |
317
5.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
3290
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
29473
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
3564
4.18 IPS |
|
|
Object Detection (SP)
|
100% |
578
45.9 IPS |
|
|
Object Detection (HP)
|
100% |
2543
201.7 IPS |
|
|
Object Detection (Q)
|
94% |
286
22.8 IPS |
|
|
Face Detection (SP)
|
100% |
1146
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
7096
84.3 IPS |
|
|
Face Detection (Q)
|
100% |
361
4.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
1841
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
25834
199.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
1004
7.85 IPS |
|
|
Style Transfer (SP)
|
100% |
4933
6.34 IPS |
|
|
Style Transfer (HP)
|
100% |
9995
12.8 IPS |
|
|
Style Transfer (Q)
|
96% |
4151
5.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1716
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4385
161.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
579
21.4 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
464
619.7 IPS |
|
|
Text Classification (Q)
|
93% |
458
614.9 IPS |
|
|
Machine Translation (SP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
992
17.1 IPS |
