iPhone SE (3rd generation)
Geekbench AI Score
3277
Single Precision Score
18590
Half Precision Score
21244
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | SlippingStaff |
| Upload Date | December 06 2024 01:03 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1331
247.6 IPS |
|
|
Image Classification (HP)
|
100% |
8544
1.59 KIPS |
|
|
Image Classification (Q)
|
96% |
10343
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11997
194.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
14007
227.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6521
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
85359
99.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
94603
110.9 IPS |
|
|
Object Detection (SP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (HP)
|
99% |
10561
840.1 IPS |
|
|
Object Detection (Q)
|
91% |
11555
923.3 IPS |
|
|
Face Detection (SP)
|
100% |
2782
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
24947
296.4 IPS |
|
|
Face Detection (Q)
|
100% |
31864
378.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5482
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
53047
408.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
72455
566.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17756
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
150569
193.6 IPS |
|
|
Style Transfer (Q)
|
96% |
150686
194.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3943
145.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26607
982.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27814
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2392
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (Q)
|
93% |
2248
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4499
77.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5436
93.9 IPS |
