iPhone SE (2nd generation)
Geekbench AI Score
1536
Single Precision Score
2913
Half Precision Score
2315
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:20 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
820
152.5 IPS |
|
|
Image Classification (HP)
|
100% |
1345
250.2 IPS |
|
|
Image Classification (Q)
|
96% |
970
181.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
840
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1223
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1436
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2937
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
4829
5.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
4269
5.00 IPS |
|
|
Object Detection (SP)
|
100% |
670
53.1 IPS |
|
|
Object Detection (HP)
|
97% |
1497
119.2 IPS |
|
|
Object Detection (Q)
|
94% |
1049
83.6 IPS |
|
|
Face Detection (SP)
|
100% |
1495
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
2955
35.1 IPS |
|
|
Face Detection (Q)
|
100% |
1621
19.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2511
19.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5428
42.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
3701
28.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5233
6.73 IPS |
|
|
Style Transfer (HP)
|
100% |
12821
16.5 IPS |
|
|
Style Transfer (Q)
|
96% |
10254
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1938
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2618
96.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1719
63.5 IPS |
|
|
Text Classification (SP)
|
100% |
1383
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2248
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2253
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3063
52.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2987
51.6 IPS |
