iPhone SE (3rd generation)
Geekbench AI Score
2755
Single Precision Score
2873
Half Precision Score
2652
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | SlippingStaff |
| Upload Date | December 06 2024 12:52 PM |
| Views | 12 |
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% |
628
116.8 IPS |
|
|
Image Classification (HP)
|
100% |
831
154.6 IPS |
|
|
Image Classification (Q)
|
97% |
684
127.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2024
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1961
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9176
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9965
11.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9101
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1763
139.8 IPS |
|
|
Object Detection (HP)
|
100% |
847
67.2 IPS |
|
|
Object Detection (Q)
|
91% |
1325
105.8 IPS |
|
|
Face Detection (SP)
|
100% |
4296
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
4952
58.8 IPS |
|
|
Face Detection (Q)
|
100% |
3425
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7597
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7927
61.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6458
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16542
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19061
24.5 IPS |
|
|
Style Transfer (Q)
|
96% |
17111
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2933
108.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2829
104.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2310
85.3 IPS |
|
|
Text Classification (SP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4118
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4085
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (HP)
|
100% |
310
5.33 IPS |
|
|
Machine Translation (Q)
|
98% |
298
5.14 IPS |
