iPhone SE (2nd generation)
Geekbench AI Score
1578
Single Precision Score
2691
Half Precision Score
2306
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 09:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
764
142.1 IPS |
|
|
Image Classification (HP)
|
100% |
1141
212.3 IPS |
|
|
Image Classification (Q)
|
96% |
862
160.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
773
12.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1076
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3654
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
6623
7.73 IPS |
|
|
Pose Estimation (Q)
|
95% |
5876
6.89 IPS |
|
|
Object Detection (SP)
|
100% |
689
54.7 IPS |
|
|
Object Detection (HP)
|
97% |
1324
105.4 IPS |
|
|
Object Detection (Q)
|
94% |
1006
80.2 IPS |
|
|
Face Detection (SP)
|
100% |
1346
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
2637
31.3 IPS |
|
|
Face Detection (Q)
|
100% |
1609
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2805
21.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
4826
37.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
3606
28.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6717
8.63 IPS |
|
|
Style Transfer (HP)
|
100% |
13223
17.0 IPS |
|
|
Style Transfer (Q)
|
96% |
11172
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1923
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2668
98.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2111
78.0 IPS |
|
|
Text Classification (SP)
|
100% |
1416
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2410
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2394
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1079
18.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2386
41.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2368
40.9 IPS |
