iPhone SE (2nd generation)
Geekbench AI Score
1107
Single Precision Score
3280
Half Precision Score
646
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 28 2025 01:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
583
108.4 IPS |
|
|
Image Classification (HP)
|
100% |
2747
510.9 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
449
7.28 IPS |
|
|
Image Segmentation (Q)
|
99% |
284
4.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
3088
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
27821
32.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
3220
3.77 IPS |
|
|
Object Detection (SP)
|
100% |
572
45.4 IPS |
|
|
Object Detection (HP)
|
100% |
2440
193.5 IPS |
|
|
Object Detection (Q)
|
94% |
271
21.6 IPS |
|
|
Face Detection (SP)
|
100% |
974
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
6515
77.4 IPS |
|
|
Face Detection (Q)
|
100% |
336
3.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
1703
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23529
181.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
896
7.00 IPS |
|
|
Style Transfer (SP)
|
100% |
4440
5.71 IPS |
|
|
Style Transfer (HP)
|
100% |
8865
11.4 IPS |
|
|
Style Transfer (Q)
|
96% |
3857
4.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1636
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3658
135.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
532
19.6 IPS |
|
|
Text Classification (SP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
448
598.5 IPS |
|
|
Text Classification (Q)
|
93% |
448
600.9 IPS |
|
|
Machine Translation (SP)
|
100% |
659
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (Q)
|
98% |
670
11.6 IPS |
