iPhone SE (3rd generation)
Geekbench AI Score
3274
Single Precision Score
20207
Half Precision Score
23472
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | timk |
| Upload Date | July 01 2025 10:46 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1352
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
8092
1.50 KIPS |
|
|
Image Classification (Q)
|
96% |
10313
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12410
201.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15785
255.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6481
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
92327
107.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
94236
110.5 IPS |
|
|
Object Detection (SP)
|
100% |
1443
114.4 IPS |
|
|
Object Detection (HP)
|
99% |
11048
878.9 IPS |
|
|
Object Detection (Q)
|
91% |
12097
966.6 IPS |
|
|
Face Detection (SP)
|
100% |
2735
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
28865
343.0 IPS |
|
|
Face Detection (Q)
|
100% |
36056
428.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5297
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
56355
434.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
82469
644.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17251
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
165849
213.2 IPS |
|
|
Style Transfer (Q)
|
96% |
171346
221.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3788
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26648
984.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30760
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2465
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2454
3.28 KIPS |
|
|
Text Classification (Q)
|
93% |
2484
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3671
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6282
108.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7027
121.4 IPS |
