iPhone SE (2nd generation)
Geekbench AI Score
1692
Single Precision Score
3146
Half Precision Score
2591
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 08:10 AM |
| 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% |
792
147.2 IPS |
|
|
Image Classification (HP)
|
100% |
1391
258.6 IPS |
|
|
Image Classification (Q)
|
96% |
987
184.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
817
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1476
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3520
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
6305
7.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
5618
6.58 IPS |
|
|
Object Detection (SP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (HP)
|
97% |
1617
128.8 IPS |
|
|
Object Detection (Q)
|
94% |
1167
93.0 IPS |
|
|
Face Detection (SP)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3231
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
1846
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2989
23.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5914
45.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4349
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7047
9.06 IPS |
|
|
Style Transfer (HP)
|
100% |
14293
18.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12306
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2035
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2737
101.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2109
77.9 IPS |
|
|
Text Classification (SP)
|
100% |
1275
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (Q)
|
93% |
2150
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1294
22.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3235
55.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3189
55.1 IPS |
