iPhone SE (2nd generation)
Geekbench AI Score
1651
Single Precision Score
3132
Half Precision Score
2579
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 24 2024 01:22 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
146.3 IPS |
|
|
Image Classification (HP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (Q)
|
96% |
987
184.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1476
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3589
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
6432
7.50 IPS |
|
|
Pose Estimation (Q)
|
95% |
5735
6.72 IPS |
|
|
Object Detection (SP)
|
100% |
746
59.1 IPS |
|
|
Object Detection (HP)
|
97% |
1620
129.0 IPS |
|
|
Object Detection (Q)
|
94% |
1173
93.5 IPS |
|
|
Face Detection (SP)
|
100% |
1622
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3230
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
1852
22.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2388
18.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5845
45.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
4257
33.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6894
8.86 IPS |
|
|
Style Transfer (HP)
|
100% |
14010
18.0 IPS |
|
|
Style Transfer (Q)
|
96% |
12021
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2027
74.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2732
100.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2102
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2163
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2156
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3128
54.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3099
53.6 IPS |
