iPhone SE (2nd generation)
Geekbench AI Score
983
Single Precision Score
1849
Half Precision Score
1516
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 09:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
396
73.7 IPS |
|
|
Image Classification (HP)
|
100% |
788
146.6 IPS |
|
|
Image Classification (Q)
|
96% |
553
103.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
385
6.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
585
9.48 IPS |
|
|
Image Segmentation (Q)
|
99% |
792
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2272
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
4661
5.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
4011
4.70 IPS |
|
|
Object Detection (SP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (HP)
|
97% |
1264
100.6 IPS |
|
|
Object Detection (Q)
|
94% |
864
68.9 IPS |
|
|
Face Detection (SP)
|
100% |
945
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
2063
24.5 IPS |
|
|
Face Detection (Q)
|
100% |
927
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1523
11.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
2888
22.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
2087
16.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3821
4.91 IPS |
|
|
Style Transfer (HP)
|
100% |
7152
9.19 IPS |
|
|
Style Transfer (Q)
|
96% |
6380
8.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
957
35.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1331
49.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1076
39.7 IPS |
|
|
Text Classification (SP)
|
100% |
1100
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1882
2.51 KIPS |
|
|
Text Classification (Q)
|
93% |
2080
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
595
10.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1613
27.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1535
26.5 IPS |
