iPhone SE (2nd generation)
Geekbench AI Score
1112
Single Precision Score
3476
Half Precision Score
707
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 08 2025 07:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 2.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
530
98.5 IPS |
|
|
Image Classification (HP)
|
100% |
2723
506.3 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
432
7.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (Q)
|
99% |
309
5.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
3053
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
29382
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
3088
3.62 IPS |
|
|
Object Detection (SP)
|
100% |
539
42.7 IPS |
|
|
Object Detection (HP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (Q)
|
94% |
282
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
7073
84.0 IPS |
|
|
Face Detection (Q)
|
100% |
373
4.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
1695
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22237
171.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
963
7.52 IPS |
|
|
Style Transfer (SP)
|
100% |
4805
6.18 IPS |
|
|
Style Transfer (HP)
|
100% |
9610
12.4 IPS |
|
|
Style Transfer (Q)
|
96% |
4419
5.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1553
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4273
157.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
599
22.1 IPS |
|
|
Text Classification (SP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
454
605.6 IPS |
|
|
Text Classification (Q)
|
93% |
457
612.9 IPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1001
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
972
16.8 IPS |
