iPhone SE (2nd generation)
Geekbench AI Score
1688
Single Precision Score
3087
Half Precision Score
2568
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | February 12 2026 03:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
806
150.0 IPS |
|
|
Image Classification (HP)
|
100% |
1363
253.6 IPS |
|
|
Image Classification (Q)
|
96% |
978
182.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1173
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1363
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3684
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
6719
7.84 IPS |
|
|
Pose Estimation (Q)
|
95% |
5952
6.98 IPS |
|
|
Object Detection (SP)
|
100% |
720
57.1 IPS |
|
|
Object Detection (HP)
|
97% |
1591
126.6 IPS |
|
|
Object Detection (Q)
|
94% |
1166
92.9 IPS |
|
|
Face Detection (SP)
|
100% |
1642
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
3130
37.2 IPS |
|
|
Face Detection (Q)
|
100% |
1836
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3052
23.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
5513
42.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4130
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7386
9.50 IPS |
|
|
Style Transfer (HP)
|
100% |
14612
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12335
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1932
71.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2539
93.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2038
75.3 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2214
2.96 KIPS |
|
|
Text Classification (Q)
|
93% |
2191
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1205
20.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3247
56.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3230
55.8 IPS |
