iPhone SE (3rd generation)
Geekbench AI Score
3199
Single Precision Score
18951
Half Precision Score
21690
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ChoiSan |
| Upload Date | February 04 2025 05:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
8508
1.58 KIPS |
|
|
Image Classification (Q)
|
96% |
10308
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12226
198.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14476
234.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6063
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
85838
100.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
93567
109.7 IPS |
|
|
Object Detection (SP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (HP)
|
99% |
9934
790.3 IPS |
|
|
Object Detection (Q)
|
91% |
11833
945.5 IPS |
|
|
Face Detection (SP)
|
100% |
2760
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
26023
309.2 IPS |
|
|
Face Detection (Q)
|
100% |
32923
391.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5116
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51625
397.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
68314
533.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15369
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
129658
166.7 IPS |
|
|
Style Transfer (Q)
|
96% |
139102
179.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3865
142.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25951
958.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27443
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2429
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2378
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2375
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3487
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6269
108.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6843
118.2 IPS |
