iPhone SE (2nd generation)
Geekbench AI Score
1696
Single Precision Score
3136
Half Precision Score
2561
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:35 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% |
797
148.2 IPS |
|
|
Image Classification (HP)
|
100% |
1395
259.4 IPS |
|
|
Image Classification (Q)
|
96% |
991
185.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
834
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1479
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3591
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
6498
7.58 IPS |
|
|
Pose Estimation (Q)
|
95% |
5742
6.73 IPS |
|
|
Object Detection (SP)
|
100% |
738
58.6 IPS |
|
|
Object Detection (HP)
|
97% |
1633
130.0 IPS |
|
|
Object Detection (Q)
|
94% |
1191
95.0 IPS |
|
|
Face Detection (SP)
|
100% |
1606
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3247
38.6 IPS |
|
|
Face Detection (Q)
|
100% |
1817
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3026
23.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5823
45.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
4337
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7353
9.45 IPS |
|
|
Style Transfer (HP)
|
100% |
13670
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
11945
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2001
73.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2694
99.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2095
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
1295
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2160
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2151
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1210
20.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3163
54.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2858
49.4 IPS |
