iPhone SE (2nd generation)
Geekbench AI Score
1613
Single Precision Score
3044
Half Precision Score
2527
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 07 2025 02:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
804
149.5 IPS |
|
|
Image Classification (HP)
|
100% |
1361
253.2 IPS |
|
|
Image Classification (Q)
|
96% |
969
181.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1364
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3590
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
6420
7.49 IPS |
|
|
Pose Estimation (Q)
|
95% |
5737
6.72 IPS |
|
|
Object Detection (SP)
|
100% |
718
56.9 IPS |
|
|
Object Detection (HP)
|
97% |
1574
125.3 IPS |
|
|
Object Detection (Q)
|
94% |
1148
91.5 IPS |
|
|
Face Detection (SP)
|
100% |
1589
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
3094
36.8 IPS |
|
|
Face Detection (Q)
|
100% |
1795
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2899
22.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5488
42.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4096
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7093
9.12 IPS |
|
|
Style Transfer (HP)
|
100% |
14112
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
12195
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1818
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2529
93.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2059
76.0 IPS |
|
|
Text Classification (SP)
|
100% |
1307
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2179
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
2166
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3200
55.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3062
52.9 IPS |
