iPhone SE (3rd generation)
Geekbench AI Score
2711
Single Precision Score
2745
Half Precision Score
2488
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 06:43 PM |
| Views | 1 |
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% |
1004
186.8 IPS |
|
|
Image Classification (HP)
|
100% |
878
163.3 IPS |
|
|
Image Classification (Q)
|
97% |
710
132.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1978
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2017
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1947
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9351
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10062
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9346
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1136
90.1 IPS |
|
|
Object Detection (HP)
|
100% |
1070
84.8 IPS |
|
|
Object Detection (Q)
|
91% |
759
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
4178
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
3674
43.6 IPS |
|
|
Face Detection (Q)
|
100% |
3330
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6709
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6255
48.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6228
48.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16706
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14988
19.3 IPS |
|
|
Style Transfer (Q)
|
96% |
13027
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2894
106.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2875
106.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2405
88.8 IPS |
|
|
Text Classification (SP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4120
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4103
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
311
5.35 IPS |
|
|
Machine Translation (HP)
|
100% |
313
5.39 IPS |
|
|
Machine Translation (Q)
|
98% |
348
6.01 IPS |
