iPhone SE (2nd generation)
Geekbench AI Score
684
Single Precision Score
2351
Half Precision Score
459
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Tomatoes |
| Upload Date | May 24 2025 11:33 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
334
62.1 IPS |
|
|
Image Classification (HP)
|
100% |
1845
343.1 IPS |
|
|
Image Classification (Q)
|
97% |
159
29.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
250
4.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
324
5.25 IPS |
|
|
Image Segmentation (Q)
|
99% |
187
3.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
1724
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
18868
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
2181
2.56 IPS |
|
|
Object Detection (SP)
|
100% |
323
25.6 IPS |
|
|
Object Detection (HP)
|
100% |
1588
126.0 IPS |
|
|
Object Detection (Q)
|
94% |
184
14.7 IPS |
|
|
Face Detection (SP)
|
100% |
685
8.14 IPS |
|
|
Face Detection (HP)
|
100% |
4701
55.9 IPS |
|
|
Face Detection (Q)
|
100% |
245
2.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
1108
8.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
19318
148.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
673
5.25 IPS |
|
|
Style Transfer (SP)
|
100% |
2829
3.64 IPS |
|
|
Style Transfer (HP)
|
100% |
6614
8.50 IPS |
|
|
Style Transfer (Q)
|
96% |
2895
3.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
910
33.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2581
95.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
406
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
524
699.5 IPS |
|
|
Text Classification (HP)
|
100% |
283
377.1 IPS |
|
|
Text Classification (Q)
|
93% |
274
367.7 IPS |
|
|
Machine Translation (SP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (HP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (Q)
|
98% |
662
11.4 IPS |
