iPhone SE (3rd generation)
Geekbench AI Score
2588
Single Precision Score
2877
Half Precision Score
2342
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | SlippingStaff |
| Upload Date | December 06 2024 12:48 PM |
| Views | 5 |
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% |
640
119.0 IPS |
|
|
Image Classification (HP)
|
100% |
729
135.5 IPS |
|
|
Image Classification (Q)
|
97% |
640
119.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1941
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2042
33.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1951
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9194
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9956
11.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9195
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1091
86.5 IPS |
|
|
Object Detection (HP)
|
100% |
809
64.2 IPS |
|
|
Object Detection (Q)
|
91% |
575
46.0 IPS |
|
|
Face Detection (SP)
|
100% |
4314
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
5103
60.6 IPS |
|
|
Face Detection (Q)
|
100% |
3232
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6524
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7909
60.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6066
47.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16625
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19305
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
17623
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2690
99.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2799
103.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1850
68.3 IPS |
|
|
Text Classification (SP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4144
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4111
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
356
6.13 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.18 IPS |
|
|
Machine Translation (Q)
|
98% |
287
4.97 IPS |
