iPhone SE (2nd generation)
Geekbench AI Score
1660
Single Precision Score
3064
Half Precision Score
2556
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | kitsunechan_2525 |
| Upload Date | June 09 2025 11:39 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
802
149.2 IPS |
|
|
Image Classification (HP)
|
100% |
1363
253.5 IPS |
|
|
Image Classification (Q)
|
96% |
972
181.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
783
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1175
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1362
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3633
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
6542
7.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
5809
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
715
56.7 IPS |
|
|
Object Detection (HP)
|
97% |
1579
125.7 IPS |
|
|
Object Detection (Q)
|
94% |
1151
91.7 IPS |
|
|
Face Detection (SP)
|
100% |
1607
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (Q)
|
100% |
1822
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2936
22.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5497
42.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4100
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7200
9.26 IPS |
|
|
Style Transfer (HP)
|
100% |
14278
18.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12234
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1858
68.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2528
93.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2056
75.9 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2188
2.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2183
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3279
56.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3279
56.7 IPS |
