iPhone SE (2nd generation)
Geekbench AI Score
1043
Single Precision Score
3110
Half Precision Score
595
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 09:43 AM |
| Views | 1 |
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% |
575
106.9 IPS |
|
|
Image Classification (HP)
|
100% |
2606
484.6 IPS |
|
|
Image Classification (Q)
|
97% |
276
51.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
439
7.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
435
7.05 IPS |
|
|
Image Segmentation (Q)
|
99% |
298
4.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
3036
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
29407
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
3199
3.75 IPS |
|
|
Object Detection (SP)
|
100% |
569
45.1 IPS |
|
|
Object Detection (HP)
|
100% |
2345
186.0 IPS |
|
|
Object Detection (Q)
|
94% |
231
18.4 IPS |
|
|
Face Detection (SP)
|
100% |
935
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
6124
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
273
3.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
1399
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
20347
156.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
735
5.74 IPS |
|
|
Style Transfer (SP)
|
100% |
3779
4.86 IPS |
|
|
Style Transfer (HP)
|
100% |
7775
10.00 IPS |
|
|
Style Transfer (Q)
|
96% |
3222
4.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1625
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3440
127.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
449
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
447
596.3 IPS |
|
|
Text Classification (Q)
|
93% |
436
585.0 IPS |
|
|
Machine Translation (SP)
|
100% |
580
9.99 IPS |
|
|
Machine Translation (HP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (Q)
|
98% |
734
12.7 IPS |
