iPhone SE (3rd generation)
Geekbench AI Score
1895
Single Precision Score
10982
Half Precision Score
9262
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | croissantdeepimpact |
| Upload Date | June 18 2025 03:22 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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% |
930
173.0 IPS |
|
|
Image Classification (HP)
|
100% |
4209
782.7 IPS |
|
|
Image Classification (Q)
|
96% |
5122
956.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4062
65.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
438
7.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
5269
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
72448
84.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
75560
88.6 IPS |
|
|
Object Detection (SP)
|
100% |
957
75.9 IPS |
|
|
Object Detection (HP)
|
99% |
6702
533.1 IPS |
|
|
Object Detection (Q)
|
93% |
6449
514.6 IPS |
|
|
Face Detection (SP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
10843
128.8 IPS |
|
|
Face Detection (Q)
|
100% |
11584
137.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3151
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35855
276.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
45643
356.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9404
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
110625
142.2 IPS |
|
|
Style Transfer (Q)
|
95% |
92109
119.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2898
107.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13298
491.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16643
614.5 IPS |
|
|
Text Classification (SP)
|
100% |
1029
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2604
3.48 KIPS |
|
|
Text Classification (Q)
|
93% |
2535
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1384
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2064
35.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2070
35.8 IPS |
