iPhone SE (2nd generation)
Geekbench AI Score
1687
Single Precision Score
3115
Half Precision Score
2560
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 08:58 AM |
| Views | 1 |
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% |
785
145.9 IPS |
|
|
Image Classification (HP)
|
100% |
1379
256.4 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
810
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1469
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3567
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
6404
7.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
5726
6.71 IPS |
|
|
Object Detection (SP)
|
100% |
733
58.2 IPS |
|
|
Object Detection (HP)
|
97% |
1600
127.4 IPS |
|
|
Object Detection (Q)
|
94% |
1144
91.2 IPS |
|
|
Face Detection (SP)
|
100% |
1619
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3210
38.1 IPS |
|
|
Face Detection (Q)
|
100% |
1756
20.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3019
23.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5906
45.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4336
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7248
9.32 IPS |
|
|
Style Transfer (HP)
|
100% |
13772
17.7 IPS |
|
|
Style Transfer (Q)
|
96% |
12010
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1950
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2709
100.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2095
77.4 IPS |
|
|
Text Classification (SP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2148
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2140
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3160
54.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3112
53.8 IPS |
