iPhone SE (3rd generation)
Geekbench AI Score
3196
Single Precision Score
5624
Half Precision Score
4537
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 03:14 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 3.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1359
252.7 IPS |
|
|
Image Classification (HP)
|
100% |
2387
443.9 IPS |
|
|
Image Classification (Q)
|
96% |
1658
309.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1945
31.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2424
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6022
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
13600
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11227
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (HP)
|
97% |
2643
210.4 IPS |
|
|
Object Detection (Q)
|
94% |
1878
149.7 IPS |
|
|
Face Detection (SP)
|
100% |
2670
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5451
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3045
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5198
40.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10354
80.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7118
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16476
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27110
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21639
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3733
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4740
175.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3570
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
2456
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4064
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4033
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3619
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6440
111.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6462
111.7 IPS |
