iPhone SE (2nd generation)
Geekbench AI Score
1674
Single Precision Score
3120
Half Precision Score
2562
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | szityus |
| Upload Date | February 28 2025 01:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
785
146.0 IPS |
|
|
Image Classification (HP)
|
100% |
1383
257.2 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
810
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1465
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3582
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
6443
7.52 IPS |
|
|
Pose Estimation (Q)
|
95% |
5765
6.76 IPS |
|
|
Object Detection (SP)
|
100% |
718
56.9 IPS |
|
|
Object Detection (HP)
|
97% |
1591
126.7 IPS |
|
|
Object Detection (Q)
|
94% |
1161
92.5 IPS |
|
|
Face Detection (SP)
|
100% |
1627
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3210
38.1 IPS |
|
|
Face Detection (Q)
|
100% |
1814
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3006
23.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5907
45.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4195
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6947
8.93 IPS |
|
|
Style Transfer (HP)
|
100% |
13887
17.9 IPS |
|
|
Style Transfer (Q)
|
96% |
11702
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2013
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2739
101.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2106
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
1289
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2148
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2162
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3132
54.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3117
53.9 IPS |
