iPhone SE (2nd generation)
Geekbench AI Score
1024
Single Precision Score
3459
Half Precision Score
626
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Tomatoes |
| Upload Date | May 24 2025 11:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
546
101.6 IPS |
|
|
Image Classification (HP)
|
100% |
2883
536.2 IPS |
|
|
Image Classification (Q)
|
97% |
275
51.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
417
6.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
472
7.65 IPS |
|
|
Image Segmentation (Q)
|
99% |
287
4.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
2879
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
28835
33.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
3405
3.99 IPS |
|
|
Object Detection (SP)
|
100% |
537
42.6 IPS |
|
|
Object Detection (HP)
|
100% |
2498
198.2 IPS |
|
|
Object Detection (Q)
|
94% |
282
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
1046
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
7212
85.7 IPS |
|
|
Face Detection (Q)
|
100% |
237
2.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
1207
9.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
21549
166.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
676
5.28 IPS |
|
|
Style Transfer (SP)
|
100% |
3490
4.49 IPS |
|
|
Style Transfer (HP)
|
100% |
9363
12.0 IPS |
|
|
Style Transfer (Q)
|
96% |
3560
4.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1677
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4358
160.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
577
21.3 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
434
579.7 IPS |
|
|
Text Classification (Q)
|
93% |
431
578.5 IPS |
|
|
Machine Translation (SP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
871
15.1 IPS |
