iPhone SE (2nd generation)
Geekbench AI Score
1511
Single Precision Score
2965
Half Precision Score
2390
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 05:05 PM |
| Views | 1 |
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% |
808
150.3 IPS |
|
|
Image Classification (HP)
|
100% |
1379
256.4 IPS |
|
|
Image Classification (Q)
|
96% |
973
181.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1355
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3215
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
6184
7.22 IPS |
|
|
Pose Estimation (Q)
|
95% |
5389
6.32 IPS |
|
|
Object Detection (SP)
|
100% |
695
55.1 IPS |
|
|
Object Detection (HP)
|
97% |
1556
123.9 IPS |
|
|
Object Detection (Q)
|
94% |
1151
91.8 IPS |
|
|
Face Detection (SP)
|
100% |
1415
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
2895
34.4 IPS |
|
|
Face Detection (Q)
|
100% |
1555
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2141
16.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
4888
37.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
2734
21.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4976
6.40 IPS |
|
|
Style Transfer (HP)
|
100% |
13602
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11617
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1941
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2500
92.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2052
75.8 IPS |
|
|
Text Classification (SP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2179
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
2245
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1169
20.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3252
56.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3275
56.6 IPS |
