iPhone SE (3rd generation)
Geekbench AI Score
1936
Single Precision Score
10524
Half Precision Score
11916
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Bartek21 |
| Upload Date | December 02 2024 08:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
939
174.7 IPS |
|
|
Image Classification (HP)
|
100% |
4242
788.8 IPS |
|
|
Image Classification (Q)
|
96% |
4697
877.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3801
61.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6371
103.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5607
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
71659
83.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
75864
88.9 IPS |
|
|
Object Detection (SP)
|
100% |
981
77.8 IPS |
|
|
Object Detection (HP)
|
99% |
5723
455.3 IPS |
|
|
Object Detection (Q)
|
93% |
6857
547.1 IPS |
|
|
Face Detection (SP)
|
100% |
1682
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
10331
122.8 IPS |
|
|
Face Detection (Q)
|
100% |
12124
144.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3323
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
34781
268.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
41195
321.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9947
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
97174
124.9 IPS |
|
|
Style Transfer (Q)
|
95% |
90010
116.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2887
106.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13362
493.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15710
580.1 IPS |
|
|
Text Classification (SP)
|
100% |
1029
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2539
3.39 KIPS |
|
|
Text Classification (Q)
|
93% |
2893
3.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2128
36.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1815
31.4 IPS |
