iPhone SE (3rd generation)
Geekbench AI Score
3278
Single Precision Score
5673
Half Precision Score
4597
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | 19jet54 |
| Upload Date | February 06 2025 11:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1335
248.3 IPS |
|
|
Image Classification (HP)
|
100% |
2363
439.4 IPS |
|
|
Image Classification (Q)
|
96% |
1620
302.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2513
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6496
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
13843
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11810
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
97% |
2736
217.8 IPS |
|
|
Object Detection (Q)
|
94% |
1944
154.9 IPS |
|
|
Face Detection (SP)
|
100% |
2766
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
5679
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
3192
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5408
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11158
86.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7636
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17368
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26696
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22287
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3841
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4563
168.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3441
127.1 IPS |
|
|
Text Classification (SP)
|
100% |
2432
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4260
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4195
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3492
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5805
100.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5755
99.5 IPS |
