iPhone SE (3rd generation)
Geekbench AI Score
2635
Single Precision Score
2993
Half Precision Score
2456
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | SlippingStaff |
| Upload Date | December 06 2024 12:17 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
820
152.5 IPS |
|
|
Image Classification (HP)
|
100% |
870
161.7 IPS |
|
|
Image Classification (Q)
|
97% |
696
129.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1974
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2030
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1955
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9240
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10012
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9152
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
894
70.9 IPS |
|
|
Object Detection (HP)
|
100% |
1064
84.4 IPS |
|
|
Object Detection (Q)
|
91% |
771
61.6 IPS |
|
|
Face Detection (SP)
|
100% |
4372
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
4891
58.1 IPS |
|
|
Face Detection (Q)
|
100% |
2961
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6442
49.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7913
61.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6027
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16565
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19244
24.7 IPS |
|
|
Style Transfer (Q)
|
96% |
17650
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2990
110.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2789
103.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2147
79.3 IPS |
|
|
Text Classification (SP)
|
100% |
2410
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4122
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4102
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (Q)
|
98% |
300
5.19 IPS |
