iPhone SE (2nd generation)
Geekbench AI Score
1667
Single Precision Score
3086
Half Precision Score
2541
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 08:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
780
145.0 IPS |
|
|
Image Classification (HP)
|
100% |
1389
258.2 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
822
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1459
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3445
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
6216
7.25 IPS |
|
|
Pose Estimation (Q)
|
95% |
5480
6.42 IPS |
|
|
Object Detection (SP)
|
100% |
710
56.3 IPS |
|
|
Object Detection (HP)
|
97% |
1589
126.5 IPS |
|
|
Object Detection (Q)
|
94% |
1157
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
1617
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3210
38.1 IPS |
|
|
Face Detection (Q)
|
100% |
1812
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2971
22.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
5868
45.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4177
32.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6850
8.81 IPS |
|
|
Style Transfer (HP)
|
100% |
13749
17.7 IPS |
|
|
Style Transfer (Q)
|
96% |
11600
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1994
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2550
94.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2082
76.9 IPS |
|
|
Text Classification (SP)
|
100% |
1292
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2159
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2167
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3148
54.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3106
53.7 IPS |
