iPhone SE (3rd generation)
Geekbench AI Score
1152
Single Precision Score
1101
Half Precision Score
615
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 10:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.3.1 |
| 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% |
953
177.3 IPS |
|
|
Image Classification (HP)
|
100% |
936
174.1 IPS |
|
|
Image Classification (Q)
|
97% |
383
71.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
554
8.98 IPS |
|
|
Image Segmentation (Q)
|
99% |
442
7.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
5119
5.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
4863
5.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
2549
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
437
34.7 IPS |
|
|
Object Detection (HP)
|
98% |
477
38.0 IPS |
|
|
Object Detection (Q)
|
94% |
211
16.8 IPS |
|
|
Face Detection (SP)
|
100% |
921
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
787
9.35 IPS |
|
|
Face Detection (Q)
|
100% |
274
3.25 IPS |
|
|
Depth Estimation (SP)
|
100% |
1483
11.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
1618
12.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
759
5.93 IPS |
|
|
Style Transfer (SP)
|
100% |
4718
6.06 IPS |
|
|
Style Transfer (HP)
|
100% |
5542
7.12 IPS |
|
|
Style Transfer (Q)
|
96% |
3249
4.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1375
50.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1142
42.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
463
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
463
617.9 IPS |
|
|
Text Classification (HP)
|
100% |
282
377.0 IPS |
|
|
Text Classification (Q)
|
93% |
281
377.3 IPS |
|
|
Machine Translation (SP)
|
100% |
778
13.4 IPS |
|
|
Machine Translation (HP)
|
96% |
965
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
969
16.7 IPS |
