iPhone SE (2nd generation)
Geekbench AI Score
1149
Single Precision Score
3208
Half Precision Score
642
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 05 2026 09:25 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
577
107.3 IPS |
|
|
Image Classification (HP)
|
100% |
2766
514.3 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
439
7.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (Q)
|
99% |
334
5.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
2781
3.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
25653
29.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
3090
3.62 IPS |
|
|
Object Detection (SP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (HP)
|
100% |
2416
191.6 IPS |
|
|
Object Detection (Q)
|
94% |
253
20.1 IPS |
|
|
Face Detection (SP)
|
100% |
1067
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
6825
81.1 IPS |
|
|
Face Detection (Q)
|
100% |
376
4.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
1866
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22823
175.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
851
6.65 IPS |
|
|
Style Transfer (SP)
|
100% |
4681
6.02 IPS |
|
|
Style Transfer (HP)
|
100% |
9634
12.4 IPS |
|
|
Style Transfer (Q)
|
96% |
4258
5.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1659
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3778
139.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
589
21.8 IPS |
|
|
Text Classification (SP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
287
382.6 IPS |
|
|
Text Classification (Q)
|
93% |
226
303.5 IPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
909
15.7 IPS |
