iPhone SE (2nd generation)
Geekbench AI Score
1133
Single Precision Score
3513
Half Precision Score
721
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | December 03 2024 02:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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
102.9 IPS |
|
|
Image Classification (HP)
|
100% |
2669
496.3 IPS |
|
|
Image Classification (Q)
|
97% |
277
51.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
442
7.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
493
8.00 IPS |
|
|
Image Segmentation (Q)
|
99% |
361
5.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
3378
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
29155
34.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
3423
4.01 IPS |
|
|
Object Detection (SP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (HP)
|
100% |
2476
196.4 IPS |
|
|
Object Detection (Q)
|
94% |
265
21.1 IPS |
|
|
Face Detection (SP)
|
100% |
847
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6931
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
376
4.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
1790
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22441
172.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
956
7.47 IPS |
|
|
Style Transfer (SP)
|
100% |
4690
6.03 IPS |
|
|
Style Transfer (HP)
|
100% |
9647
12.4 IPS |
|
|
Style Transfer (Q)
|
96% |
4376
5.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1721
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4452
164.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
597
22.1 IPS |
|
|
Text Classification (SP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
453
604.5 IPS |
|
|
Text Classification (Q)
|
93% |
449
603.0 IPS |
|
|
Machine Translation (SP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
998
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
997
17.2 IPS |
