iPhone SE (2nd generation)
Geekbench AI Score
1655
Single Precision Score
3104
Half Precision Score
2547
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 09:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
785
146.1 IPS |
|
|
Image Classification (HP)
|
100% |
1387
258.0 IPS |
|
|
Image Classification (Q)
|
96% |
982
183.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
814
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1280
20.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1467
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3408
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
6071
7.08 IPS |
|
|
Pose Estimation (Q)
|
95% |
5437
6.37 IPS |
|
|
Object Detection (SP)
|
100% |
730
57.9 IPS |
|
|
Object Detection (HP)
|
97% |
1599
127.3 IPS |
|
|
Object Detection (Q)
|
94% |
1154
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3190
37.9 IPS |
|
|
Face Detection (Q)
|
100% |
1811
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2891
22.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5522
42.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4018
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6489
8.34 IPS |
|
|
Style Transfer (HP)
|
100% |
13759
17.7 IPS |
|
|
Style Transfer (Q)
|
96% |
11714
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1915
70.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2706
99.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2094
77.3 IPS |
|
|
Text Classification (SP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (Q)
|
93% |
2220
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3308
57.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3213
55.5 IPS |
