iPhone SE (2nd generation)
Geekbench AI Score
1671
Single Precision Score
3084
Half Precision Score
2562
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 01:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
808
150.3 IPS |
|
|
Image Classification (HP)
|
100% |
1368
254.5 IPS |
|
|
Image Classification (Q)
|
96% |
981
183.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1367
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3647
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
6584
7.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
5840
6.84 IPS |
|
|
Object Detection (SP)
|
100% |
718
56.9 IPS |
|
|
Object Detection (HP)
|
97% |
1592
126.7 IPS |
|
|
Object Detection (Q)
|
94% |
1158
92.3 IPS |
|
|
Face Detection (SP)
|
100% |
1622
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (Q)
|
100% |
1829
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2980
23.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5481
42.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4119
32.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7283
9.36 IPS |
|
|
Style Transfer (HP)
|
100% |
14636
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12351
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1893
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2551
94.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2038
75.2 IPS |
|
|
Text Classification (SP)
|
100% |
1296
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2189
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2181
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3298
57.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3255
56.2 IPS |
