iPhone SE (2nd generation)
Geekbench AI Score
1689
Single Precision Score
3122
Half Precision Score
2569
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Keitan924111 |
| Upload Date | September 08 2024 07:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
783
145.5 IPS |
|
|
Image Classification (HP)
|
100% |
1388
258.2 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
815
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1475
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3601
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
6440
7.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
5711
6.69 IPS |
|
|
Object Detection (SP)
|
100% |
733
58.2 IPS |
|
|
Object Detection (HP)
|
97% |
1601
127.5 IPS |
|
|
Object Detection (Q)
|
94% |
1162
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3233
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
1844
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3020
23.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5923
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4257
33.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6974
8.97 IPS |
|
|
Style Transfer (HP)
|
100% |
13868
17.8 IPS |
|
|
Style Transfer (Q)
|
96% |
11811
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2025
74.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2681
99.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2102
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1281
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2163
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2142
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3145
54.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3117
53.9 IPS |
