iPhone SE (2nd generation)
Geekbench AI Score
1025
Single Precision Score
3215
Half Precision Score
614
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | szityus |
| Upload Date | February 28 2025 02:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
518
96.3 IPS |
|
|
Image Classification (HP)
|
100% |
2828
525.8 IPS |
|
|
Image Classification (Q)
|
97% |
245
45.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
408
6.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
465
7.53 IPS |
|
|
Image Segmentation (Q)
|
99% |
279
4.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
2595
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
24932
29.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
2607
3.05 IPS |
|
|
Object Detection (SP)
|
100% |
456
36.1 IPS |
|
|
Object Detection (HP)
|
100% |
1746
138.5 IPS |
|
|
Object Detection (Q)
|
94% |
213
17.0 IPS |
|
|
Face Detection (SP)
|
100% |
958
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
5890
70.0 IPS |
|
|
Face Detection (Q)
|
100% |
290
3.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
1566
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21807
168.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
890
6.95 IPS |
|
|
Style Transfer (SP)
|
100% |
4275
5.50 IPS |
|
|
Style Transfer (HP)
|
100% |
9312
12.0 IPS |
|
|
Style Transfer (Q)
|
96% |
3800
4.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1664
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4265
157.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
535
19.8 IPS |
|
|
Text Classification (SP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
451
602.3 IPS |
|
|
Text Classification (Q)
|
93% |
454
609.2 IPS |
|
|
Machine Translation (SP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
856
14.8 IPS |
