iPhone SE (2nd generation)
Geekbench AI Score
1172
Single Precision Score
3525
Half Precision Score
726
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 25 2025 11:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
553
102.8 IPS |
|
|
Image Classification (HP)
|
100% |
2825
525.4 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
442
7.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
493
7.99 IPS |
|
|
Image Segmentation (Q)
|
99% |
316
5.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
3278
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
28389
33.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3555
4.17 IPS |
|
|
Object Detection (SP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (HP)
|
100% |
2444
193.9 IPS |
|
|
Object Detection (Q)
|
94% |
283
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
1134
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
6889
81.9 IPS |
|
|
Face Detection (Q)
|
100% |
394
4.68 IPS |
|
|
Depth Estimation (SP)
|
100% |
1865
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22167
170.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
987
7.71 IPS |
|
|
Style Transfer (SP)
|
100% |
4825
6.20 IPS |
|
|
Style Transfer (HP)
|
100% |
9773
12.6 IPS |
|
|
Style Transfer (Q)
|
96% |
4427
5.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1691
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4502
166.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
603
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
460
613.9 IPS |
|
|
Text Classification (Q)
|
93% |
457
613.7 IPS |
|
|
Machine Translation (SP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
992
17.1 IPS |
|
|
Machine Translation (Q)
|
98% |
971
16.8 IPS |
