iPhone SE (2nd generation)
Geekbench AI Score
864
Single Precision Score
3485
Half Precision Score
627
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 09:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
546
101.6 IPS |
|
|
Image Classification (HP)
|
100% |
3006
558.9 IPS |
|
|
Image Classification (Q)
|
97% |
278
51.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
307
4.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
502
8.14 IPS |
|
|
Image Segmentation (Q)
|
99% |
256
4.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
1781
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
29436
34.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
2050
2.40 IPS |
|
|
Object Detection (SP)
|
100% |
385
30.5 IPS |
|
|
Object Detection (HP)
|
100% |
2624
208.1 IPS |
|
|
Object Detection (Q)
|
94% |
296
23.6 IPS |
|
|
Face Detection (SP)
|
100% |
656
7.80 IPS |
|
|
Face Detection (HP)
|
100% |
7494
89.0 IPS |
|
|
Face Detection (Q)
|
100% |
353
4.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
1149
8.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
22723
175.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
1040
8.12 IPS |
|
|
Style Transfer (SP)
|
100% |
4640
5.96 IPS |
|
|
Style Transfer (HP)
|
100% |
9923
12.8 IPS |
|
|
Style Transfer (Q)
|
96% |
3915
5.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1358
50.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4070
150.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
460
17.0 IPS |
|
|
Text Classification (SP)
|
100% |
763
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
438
585.1 IPS |
|
|
Text Classification (Q)
|
93% |
431
578.3 IPS |
|
|
Machine Translation (SP)
|
100% |
562
9.69 IPS |
|
|
Machine Translation (HP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
98% |
775
13.4 IPS |
