iPhone SE (3rd generation)
Geekbench AI Score
3253
Single Precision Score
20320
Half Precision Score
22915
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 24 2025 08:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
8300
1.54 KIPS |
|
|
Image Classification (Q)
|
96% |
10201
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13468
218.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15552
252.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6321
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
88491
103.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
96194
112.7 IPS |
|
|
Object Detection (SP)
|
100% |
1426
113.1 IPS |
|
|
Object Detection (HP)
|
99% |
10757
855.7 IPS |
|
|
Object Detection (Q)
|
91% |
12115
968.1 IPS |
|
|
Face Detection (SP)
|
100% |
2740
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
28743
341.5 IPS |
|
|
Face Detection (Q)
|
100% |
35566
422.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5268
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
57185
440.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
74069
578.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17073
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
168587
216.7 IPS |
|
|
Style Transfer (Q)
|
96% |
172052
222.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3756
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27771
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28043
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2458
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (Q)
|
93% |
2401
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3645
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6199
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7078
122.3 IPS |
