iPhone SE (2nd generation)
Geekbench AI Score
1052
Single Precision Score
3373
Half Precision Score
646
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 11:49 PM |
| Views | 1 |
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% |
543
101.0 IPS |
|
|
Image Classification (HP)
|
100% |
2809
522.4 IPS |
|
|
Image Classification (Q)
|
97% |
261
48.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
395
6.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
472
7.65 IPS |
|
|
Image Segmentation (Q)
|
99% |
314
5.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
2714
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
25859
30.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
3163
3.71 IPS |
|
|
Object Detection (SP)
|
100% |
539
42.7 IPS |
|
|
Object Detection (HP)
|
100% |
2512
199.3 IPS |
|
|
Object Detection (Q)
|
94% |
265
21.1 IPS |
|
|
Face Detection (SP)
|
100% |
1073
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
6945
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
343
4.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
1594
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22263
171.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
883
6.90 IPS |
|
|
Style Transfer (SP)
|
100% |
4460
5.73 IPS |
|
|
Style Transfer (HP)
|
100% |
9862
12.7 IPS |
|
|
Style Transfer (Q)
|
96% |
3902
5.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4313
159.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
490
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
434
578.7 IPS |
|
|
Text Classification (Q)
|
93% |
429
576.1 IPS |
|
|
Machine Translation (SP)
|
100% |
553
9.53 IPS |
|
|
Machine Translation (HP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (Q)
|
98% |
751
13.0 IPS |
