iPhone SE (2nd generation)
Geekbench AI Score
1020
Single Precision Score
3372
Half Precision Score
612
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 28 2025 10:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
522
97.1 IPS |
|
|
Image Classification (HP)
|
100% |
3016
560.9 IPS |
|
|
Image Classification (Q)
|
97% |
266
49.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
445
7.22 IPS |
|
|
Image Segmentation (Q)
|
99% |
275
4.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
2955
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
28854
33.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
3049
3.57 IPS |
|
|
Object Detection (SP)
|
100% |
534
42.4 IPS |
|
|
Object Detection (HP)
|
100% |
2459
195.0 IPS |
|
|
Object Detection (Q)
|
94% |
266
21.2 IPS |
|
|
Face Detection (SP)
|
100% |
1076
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
6928
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
304
3.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
1392
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23251
179.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
741
5.79 IPS |
|
|
Style Transfer (SP)
|
100% |
3738
4.81 IPS |
|
|
Style Transfer (HP)
|
100% |
8784
11.3 IPS |
|
|
Style Transfer (Q)
|
96% |
3315
4.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4138
152.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
503
18.6 IPS |
|
|
Text Classification (SP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
413
551.7 IPS |
|
|
Text Classification (Q)
|
93% |
408
547.8 IPS |
|
|
Machine Translation (SP)
|
100% |
561
9.65 IPS |
|
|
Machine Translation (HP)
|
100% |
826
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
822
14.2 IPS |
