iPhone SE (2nd generation)
Geekbench AI Score
1157
Single Precision Score
3618
Half Precision Score
724
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | September 07 2025 12:16 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
544
101.2 IPS |
|
|
Image Classification (HP)
|
100% |
2819
524.2 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.02 IPS |
|
|
Image Segmentation (Q)
|
99% |
357
5.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
3330
3.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
29497
34.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
3437
4.03 IPS |
|
|
Object Detection (SP)
|
100% |
578
45.9 IPS |
|
|
Object Detection (HP)
|
100% |
2654
210.6 IPS |
|
|
Object Detection (Q)
|
94% |
279
22.2 IPS |
|
|
Face Detection (SP)
|
100% |
966
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
7205
85.6 IPS |
|
|
Face Detection (Q)
|
100% |
384
4.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
1848
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24482
188.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
1016
7.94 IPS |
|
|
Style Transfer (SP)
|
100% |
4990
6.41 IPS |
|
|
Style Transfer (HP)
|
100% |
9894
12.7 IPS |
|
|
Style Transfer (Q)
|
96% |
4126
5.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1705
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4367
161.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
572
21.1 IPS |
|
|
Text Classification (SP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
461
614.8 IPS |
|
|
Text Classification (Q)
|
93% |
457
612.8 IPS |
|
|
Machine Translation (SP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
991
17.1 IPS |
