iPhone SE (2nd generation)
Geekbench AI Score
882
Single Precision Score
2880
Half Precision Score
530
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 05 2025 08:06 AM |
| 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% |
491
91.3 IPS |
|
|
Image Classification (HP)
|
100% |
2676
497.6 IPS |
|
|
Image Classification (Q)
|
97% |
202
37.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
336
5.44 IPS |
|
|
Image Segmentation (Q)
|
99% |
218
3.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
1869
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
24017
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
2547
2.98 IPS |
|
|
Object Detection (SP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (HP)
|
100% |
1689
134.0 IPS |
|
|
Object Detection (Q)
|
94% |
214
17.0 IPS |
|
|
Face Detection (SP)
|
100% |
925
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
6584
78.2 IPS |
|
|
Face Detection (Q)
|
100% |
275
3.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
1368
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20590
158.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
804
6.28 IPS |
|
|
Style Transfer (SP)
|
100% |
3473
4.46 IPS |
|
|
Style Transfer (HP)
|
100% |
7904
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
3107
4.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1475
54.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3947
145.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
439
16.2 IPS |
|
|
Text Classification (SP)
|
100% |
700
934.4 IPS |
|
|
Text Classification (HP)
|
100% |
399
532.6 IPS |
|
|
Text Classification (Q)
|
93% |
406
544.9 IPS |
|
|
Machine Translation (SP)
|
100% |
482
8.31 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
98% |
604
10.4 IPS |
