iPhone SE (2nd generation)
Geekbench AI Score
1525
Single Precision Score
2966
Half Precision Score
2410
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Masatako123 |
| Upload Date | December 01 2024 01:16 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
792
147.3 IPS |
|
|
Image Classification (HP)
|
100% |
1393
259.0 IPS |
|
|
Image Classification (Q)
|
96% |
970
181.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
811
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1428
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3165
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
5860
6.84 IPS |
|
|
Pose Estimation (Q)
|
95% |
4970
5.83 IPS |
|
|
Object Detection (SP)
|
100% |
698
55.4 IPS |
|
|
Object Detection (HP)
|
97% |
1581
125.8 IPS |
|
|
Object Detection (Q)
|
94% |
1157
92.2 IPS |
|
|
Face Detection (SP)
|
100% |
1580
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
3172
37.7 IPS |
|
|
Face Detection (Q)
|
100% |
1794
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2669
20.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5116
39.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
3863
30.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4953
6.37 IPS |
|
|
Style Transfer (HP)
|
100% |
12219
15.7 IPS |
|
|
Style Transfer (Q)
|
96% |
10072
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1889
69.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2608
96.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1939
71.6 IPS |
|
|
Text Classification (SP)
|
100% |
1294
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2117
2.83 KIPS |
|
|
Text Classification (Q)
|
93% |
2133
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2951
51.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2883
49.8 IPS |
