iPhone SE (3rd generation)
Geekbench AI Score
3320
Single Precision Score
20105
Half Precision Score
22592
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 21 2024 10:44 PM |
| Views | 1 |
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% |
1365
253.9 IPS |
|
|
Image Classification (HP)
|
100% |
9478
1.76 KIPS |
|
|
Image Classification (Q)
|
96% |
10589
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12195
197.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14339
232.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6649
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
90373
105.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
94964
111.3 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
99% |
10733
853.8 IPS |
|
|
Object Detection (Q)
|
91% |
10995
878.5 IPS |
|
|
Face Detection (SP)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
28138
334.3 IPS |
|
|
Face Detection (Q)
|
100% |
33574
398.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5512
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
55210
425.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
74887
585.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17768
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
156992
201.8 IPS |
|
|
Style Transfer (Q)
|
96% |
163501
211.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3998
147.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27168
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30852
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2379
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (Q)
|
93% |
2349
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3475
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6259
107.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7336
126.8 IPS |
