iPhone SE (3rd generation)
Geekbench AI Score
3248
Single Precision Score
19118
Half Precision Score
22276
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 12 2025 10:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
7886
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
9478
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13293
215.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
15905
257.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6363
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
89101
104.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
96341
112.9 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.3 IPS |
|
|
Object Detection (HP)
|
99% |
10400
827.3 IPS |
|
|
Object Detection (Q)
|
91% |
11527
921.1 IPS |
|
|
Face Detection (SP)
|
100% |
2724
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
28380
337.2 IPS |
|
|
Face Detection (Q)
|
100% |
35379
420.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5267
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
56759
437.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
70764
553.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16975
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
153938
197.9 IPS |
|
|
Style Transfer (Q)
|
96% |
153718
198.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3771
139.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25994
959.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28952
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1710
2.28 KIPS |
|
|
Text Classification (Q)
|
93% |
2295
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3654
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6093
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7029
121.5 IPS |
