iPhone SE (2nd generation)
Geekbench AI Score
1696
Single Precision Score
3166
Half Precision Score
2546
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 08 2025 08:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
781
145.3 IPS |
|
|
Image Classification (HP)
|
100% |
1346
250.3 IPS |
|
|
Image Classification (Q)
|
96% |
975
182.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
831
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1434
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3455
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
6253
7.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
5318
6.23 IPS |
|
|
Object Detection (SP)
|
100% |
781
61.9 IPS |
|
|
Object Detection (HP)
|
97% |
1604
127.7 IPS |
|
|
Object Detection (Q)
|
94% |
1163
92.7 IPS |
|
|
Face Detection (SP)
|
100% |
1625
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3217
38.2 IPS |
|
|
Face Detection (Q)
|
100% |
1779
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2898
22.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5798
44.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4075
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6471
8.32 IPS |
|
|
Style Transfer (HP)
|
100% |
14018
18.0 IPS |
|
|
Style Transfer (Q)
|
96% |
11659
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2068
76.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2876
106.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2144
79.2 IPS |
|
|
Text Classification (SP)
|
100% |
1417
1.89 KIPS |
|
|
Text Classification (HP)
|
99% |
2564
3.42 KIPS |
|
|
Text Classification (Q)
|
93% |
2325
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3165
54.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3153
54.5 IPS |
