iPhone SE (3rd generation)
Geekbench AI Score
2125
Single Precision Score
2254
Half Precision Score
2362
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 08:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1098
204.3 IPS |
|
|
Image Classification (HP)
|
100% |
946
175.9 IPS |
|
|
Image Classification (Q)
|
96% |
1149
214.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1034
16.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1319
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3467
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
5283
6.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
4003
4.69 IPS |
|
|
Object Detection (SP)
|
100% |
803
63.7 IPS |
|
|
Object Detection (HP)
|
100% |
808
64.1 IPS |
|
|
Object Detection (Q)
|
92% |
787
62.8 IPS |
|
|
Face Detection (SP)
|
100% |
2598
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
3159
37.5 IPS |
|
|
Face Detection (Q)
|
100% |
2752
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4231
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3493
26.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
2969
23.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7765
9.98 IPS |
|
|
Style Transfer (HP)
|
100% |
8447
10.9 IPS |
|
|
Style Transfer (Q)
|
96% |
11695
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4128
152.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2824
104.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3796
140.2 IPS |
|
|
Text Classification (SP)
|
100% |
1005
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1789
2.39 KIPS |
|
|
Text Classification (Q)
|
93% |
1888
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1014
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1723
29.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1656
28.6 IPS |
