iPhone SE (3rd generation)
Geekbench AI Score
2934
Single Precision Score
3248
Half Precision Score
2930
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 12 2025 10:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
643
119.6 IPS |
|
|
Image Classification (HP)
|
100% |
850
158.0 IPS |
|
|
Image Classification (Q)
|
96% |
818
152.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2225
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9182
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9984
11.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
9649
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1061
84.1 IPS |
|
|
Object Detection (HP)
|
100% |
976
77.4 IPS |
|
|
Object Detection (Q)
|
92% |
755
60.3 IPS |
|
|
Face Detection (SP)
|
100% |
4439
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
4878
58.0 IPS |
|
|
Face Detection (Q)
|
100% |
3593
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7514
57.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7934
61.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6444
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16595
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19124
24.6 IPS |
|
|
Style Transfer (Q)
|
96% |
18341
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2966
109.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2908
107.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2356
87.0 IPS |
|
|
Text Classification (SP)
|
100% |
2455
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4205
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4201
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
838
14.5 IPS |
