iPhone SE (2nd generation)
Geekbench AI Score
1515
Single Precision Score
2989
Half Precision Score
2389
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 08:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
759
141.2 IPS |
|
|
Image Classification (HP)
|
100% |
1374
255.5 IPS |
|
|
Image Classification (Q)
|
96% |
992
185.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
821
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1424
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2939
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
5747
6.71 IPS |
|
|
Pose Estimation (Q)
|
95% |
5226
6.12 IPS |
|
|
Object Detection (SP)
|
100% |
695
55.2 IPS |
|
|
Object Detection (HP)
|
97% |
1585
126.2 IPS |
|
|
Object Detection (Q)
|
94% |
1112
88.6 IPS |
|
|
Face Detection (SP)
|
100% |
1553
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
3152
37.5 IPS |
|
|
Face Detection (Q)
|
100% |
1745
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2413
18.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5772
44.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
3496
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5243
6.74 IPS |
|
|
Style Transfer (HP)
|
100% |
11432
14.7 IPS |
|
|
Style Transfer (Q)
|
96% |
9670
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1920
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2529
93.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1897
70.0 IPS |
|
|
Text Classification (SP)
|
100% |
1315
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2207
2.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2166
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3013
52.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3049
52.7 IPS |
