iPhone SE (2nd generation)
Geekbench AI Score
793
Single Precision Score
839
Half Precision Score
365
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 05 2025 07:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
300
55.8 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.7 IPS |
|
|
Image Classification (Q)
|
97% |
141
26.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
261
4.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
261
4.23 IPS |
|
|
Image Segmentation (Q)
|
99% |
224
3.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
1335
1.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1634
1.91 IPS |
|
|
Pose Estimation (Q)
|
95% |
1139
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
621
49.2 IPS |
|
|
Object Detection (HP)
|
100% |
625
49.6 IPS |
|
|
Object Detection (Q)
|
94% |
177
14.1 IPS |
|
|
Face Detection (SP)
|
100% |
2309
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
2423
28.8 IPS |
|
|
Face Detection (Q)
|
100% |
244
2.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
1941
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2247
17.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
645
5.04 IPS |
|
|
Style Transfer (SP)
|
100% |
4640
5.97 IPS |
|
|
Style Transfer (HP)
|
100% |
4702
6.04 IPS |
|
|
Style Transfer (Q)
|
96% |
1772
2.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1035
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1021
37.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
339
12.5 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.1 IPS |
|
|
Text Classification (HP)
|
100% |
242
322.4 IPS |
|
|
Text Classification (Q)
|
93% |
238
320.0 IPS |
|
|
Machine Translation (SP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.94 IPS |
|
|
Machine Translation (Q)
|
98% |
299
5.17 IPS |
