iPhone SE (3rd generation)
Geekbench AI Score
3296
Single Precision Score
19445
Half Precision Score
22052
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 09:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1353
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
8280
1.54 KIPS |
|
|
Image Classification (Q)
|
96% |
9777
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12451
201.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14398
233.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6593
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
87856
102.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
94266
110.5 IPS |
|
|
Object Detection (SP)
|
100% |
1481
117.5 IPS |
|
|
Object Detection (HP)
|
99% |
10296
819.1 IPS |
|
|
Object Detection (Q)
|
91% |
11715
936.1 IPS |
|
|
Face Detection (SP)
|
100% |
2766
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
25533
303.4 IPS |
|
|
Face Detection (Q)
|
100% |
32064
381.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5438
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
53726
413.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
74188
579.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17682
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
150981
194.1 IPS |
|
|
Style Transfer (Q)
|
96% |
150955
194.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3919
144.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26878
992.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28485
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2405
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (Q)
|
93% |
2321
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3436
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6417
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7370
127.4 IPS |
