iPhone SE (3rd generation)
Geekbench AI Score
2625
Single Precision Score
2862
Half Precision Score
2475
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | touchstone |
| Upload Date | April 11 2025 09:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
862
160.4 IPS |
|
|
Image Classification (Q)
|
97% |
693
129.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2041
33.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2030
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9195
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9941
11.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9206
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1047
83.0 IPS |
|
|
Object Detection (HP)
|
100% |
804
63.8 IPS |
|
|
Object Detection (Q)
|
91% |
578
46.2 IPS |
|
|
Face Detection (SP)
|
100% |
4324
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
5040
59.9 IPS |
|
|
Face Detection (Q)
|
100% |
3267
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7533
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6747
52.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6113
47.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16621
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19189
24.7 IPS |
|
|
Style Transfer (Q)
|
96% |
17592
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2805
103.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2724
100.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2207
81.5 IPS |
|
|
Text Classification (SP)
|
100% |
2388
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4100
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4084
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
359
6.19 IPS |
|
|
Machine Translation (HP)
|
100% |
361
6.21 IPS |
|
|
Machine Translation (Q)
|
98% |
365
6.31 IPS |
