iPhone SE (3rd generation)
Geekbench AI Score
2977
Single Precision Score
4550
Half Precision Score
3877
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:52 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| Model | iPhone SE (3rd generation) |
| Model ID | iPhone14,6 |
| Motherboard | D49AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1422
264.5 IPS |
|
|
Image Classification (HP)
|
100% |
1772
329.5 IPS |
|
|
Image Classification (Q)
|
96% |
1344
251.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1130
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1674
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5852
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
13557
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11593
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1452
115.2 IPS |
|
|
Object Detection (HP)
|
97% |
2111
168.1 IPS |
|
|
Object Detection (Q)
|
94% |
1605
127.9 IPS |
|
|
Face Detection (SP)
|
100% |
2429
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
3977
47.3 IPS |
|
|
Face Detection (Q)
|
100% |
2577
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4847
37.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
8047
62.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
5972
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16305
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25276
32.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21018
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3502
129.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4879
180.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3463
127.9 IPS |
|
|
Text Classification (SP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3901
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3824
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2488
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4312
74.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4287
74.1 IPS |
