iPhone SE (3rd generation)
Geekbench AI Score
3200
Single Precision Score
5634
Half Precision Score
4545
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | markerichannelly |
| Upload Date | July 09 2025 05:30 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1302
242.1 IPS |
|
|
Image Classification (HP)
|
100% |
2368
440.4 IPS |
|
|
Image Classification (Q)
|
96% |
1634
305.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2407
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6123
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
13721
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11283
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (HP)
|
97% |
2612
207.9 IPS |
|
|
Object Detection (Q)
|
94% |
1848
147.3 IPS |
|
|
Face Detection (SP)
|
100% |
2699
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5393
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
3024
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5241
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10435
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7239
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16586
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26913
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21858
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3718
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4756
175.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3524
130.1 IPS |
|
|
Text Classification (SP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4266
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4263
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3674
63.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6322
109.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6385
110.3 IPS |
