iPhone SE (2nd generation)
Geekbench AI Score
1676
Single Precision Score
3140
Half Precision Score
2564
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | NikitaSolovey |
| Upload Date | October 24 2024 02:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
767
142.7 IPS |
|
|
Image Classification (HP)
|
100% |
1405
261.3 IPS |
|
|
Image Classification (Q)
|
96% |
989
184.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
810
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1460
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3611
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6407
7.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
5743
6.73 IPS |
|
|
Object Detection (SP)
|
100% |
747
59.3 IPS |
|
|
Object Detection (HP)
|
97% |
1585
126.2 IPS |
|
|
Object Detection (Q)
|
94% |
1145
91.3 IPS |
|
|
Face Detection (SP)
|
100% |
1600
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
3173
37.7 IPS |
|
|
Face Detection (Q)
|
100% |
1805
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3014
23.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5906
45.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4243
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7035
9.04 IPS |
|
|
Style Transfer (HP)
|
100% |
13894
17.9 IPS |
|
|
Style Transfer (Q)
|
96% |
11992
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1916
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2747
101.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2091
77.2 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2209
2.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2176
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1238
21.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3225
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3106
53.7 IPS |
