iPhone SE (2nd generation)
Geekbench AI Score
1619
Single Precision Score
3078
Half Precision Score
2514
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 06:12 AM |
| Views | 1 |
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% |
786
146.2 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.9 IPS |
|
|
Image Classification (Q)
|
96% |
987
184.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
809
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1457
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3383
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
6102
7.12 IPS |
|
|
Pose Estimation (Q)
|
95% |
5491
6.44 IPS |
|
|
Object Detection (SP)
|
100% |
730
57.9 IPS |
|
|
Object Detection (HP)
|
97% |
1605
127.8 IPS |
|
|
Object Detection (Q)
|
94% |
1155
92.1 IPS |
|
|
Face Detection (SP)
|
100% |
1600
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
3210
38.1 IPS |
|
|
Face Detection (Q)
|
100% |
1817
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2902
22.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5778
44.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4195
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6981
8.97 IPS |
|
|
Style Transfer (HP)
|
100% |
13589
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11076
14.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1853
68.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2701
99.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2092
77.2 IPS |
|
|
Text Classification (SP)
|
100% |
1302
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2169
2.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2140
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3001
51.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2927
50.6 IPS |
