iPhone SE (2nd generation)
Geekbench AI Score
1585
Single Precision Score
3044
Half Precision Score
2456
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 02:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
721
134.0 IPS |
|
|
Image Classification (HP)
|
100% |
1346
250.3 IPS |
|
|
Image Classification (Q)
|
96% |
947
176.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
742
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1175
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1387
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2734
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
5745
6.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
4730
5.54 IPS |
|
|
Object Detection (SP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (HP)
|
97% |
1600
127.4 IPS |
|
|
Object Detection (Q)
|
94% |
1098
87.5 IPS |
|
|
Face Detection (SP)
|
100% |
1595
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1769
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2881
22.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5798
44.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4118
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6651
8.55 IPS |
|
|
Style Transfer (HP)
|
100% |
13688
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
11519
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1998
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2726
100.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2083
76.9 IPS |
|
|
Text Classification (SP)
|
100% |
1308
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2148
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2147
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3138
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3128
54.1 IPS |
