iPhone SE (2nd generation)
Geekbench AI Score
1137
Single Precision Score
3510
Half Precision Score
707
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Masatako123 |
| Upload Date | November 14 2024 08:56 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
547
101.7 IPS |
|
|
Image Classification (HP)
|
100% |
2813
523.1 IPS |
|
|
Image Classification (Q)
|
97% |
276
51.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
484
7.84 IPS |
|
|
Image Segmentation (Q)
|
99% |
352
5.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
3140
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
29259
34.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
3418
4.01 IPS |
|
|
Object Detection (SP)
|
100% |
579
45.9 IPS |
|
|
Object Detection (HP)
|
100% |
2558
202.9 IPS |
|
|
Object Detection (Q)
|
94% |
283
22.6 IPS |
|
|
Face Detection (SP)
|
100% |
1115
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
6925
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
352
4.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
1557
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
20568
158.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
919
7.17 IPS |
|
|
Style Transfer (SP)
|
100% |
4769
6.13 IPS |
|
|
Style Transfer (HP)
|
100% |
10053
12.9 IPS |
|
|
Style Transfer (Q)
|
96% |
4133
5.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4329
159.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
567
20.9 IPS |
|
|
Text Classification (SP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
455
607.2 IPS |
|
|
Text Classification (Q)
|
93% |
454
609.5 IPS |
|
|
Machine Translation (SP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
975
16.8 IPS |
