iPhone SE (2nd generation)
Geekbench AI Score
1595
Single Precision Score
3122
Half Precision Score
2547
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 10:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
787
146.4 IPS |
|
|
Image Classification (HP)
|
100% |
1388
258.2 IPS |
|
|
Image Classification (Q)
|
96% |
983
183.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
810
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1277
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1454
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3532
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
6359
7.42 IPS |
|
|
Pose Estimation (Q)
|
95% |
5726
6.71 IPS |
|
|
Object Detection (SP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (HP)
|
97% |
1539
122.5 IPS |
|
|
Object Detection (Q)
|
94% |
1140
90.9 IPS |
|
|
Face Detection (SP)
|
100% |
1409
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (Q)
|
100% |
1785
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2904
22.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5829
45.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
4236
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6369
8.19 IPS |
|
|
Style Transfer (HP)
|
100% |
14216
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11825
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1983
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2792
103.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2101
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1298
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2159
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2153
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1242
21.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3134
54.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3056
52.8 IPS |
