iPhone SE (3rd generation)
Geekbench AI Score
3219
Single Precision Score
5614
Half Precision Score
4522
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | 19jet54 |
| Upload Date | February 06 2025 11:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1355
251.9 IPS |
|
|
Image Classification (HP)
|
100% |
2351
437.2 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2015
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2468
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6217
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
13451
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11364
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1432
113.6 IPS |
|
|
Object Detection (HP)
|
97% |
2703
215.2 IPS |
|
|
Object Detection (Q)
|
94% |
1897
151.2 IPS |
|
|
Face Detection (SP)
|
100% |
2748
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
5671
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3160
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5247
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11048
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7496
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15954
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26462
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21479
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3917
144.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4626
170.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3473
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
2413
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4143
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4126
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5683
98.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5677
98.1 IPS |
