iPhone SE (3rd generation)
Geekbench AI Score
1586
Single Precision Score
2612
Half Precision Score
2101
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 12:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
602
112.0 IPS |
|
|
Image Classification (HP)
|
100% |
1040
193.4 IPS |
|
|
Image Classification (Q)
|
96% |
719
134.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
710
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
995
16.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1143
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2971
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
6344
7.40 IPS |
|
|
Pose Estimation (Q)
|
95% |
5436
6.37 IPS |
|
|
Object Detection (SP)
|
100% |
655
52.0 IPS |
|
|
Object Detection (HP)
|
97% |
1206
96.0 IPS |
|
|
Object Detection (Q)
|
94% |
850
67.8 IPS |
|
|
Face Detection (SP)
|
100% |
1626
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
2654
31.5 IPS |
|
|
Face Detection (Q)
|
100% |
1485
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2426
18.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4826
37.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
3301
25.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7911
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12116
15.6 IPS |
|
|
Style Transfer (Q)
|
96% |
10081
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1787
66.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2163
79.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1599
59.0 IPS |
|
|
Text Classification (SP)
|
100% |
1156
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1991
2.66 KIPS |
|
|
Text Classification (Q)
|
93% |
1983
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1882
32.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2799
48.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2818
48.7 IPS |
