iPhone SE (3rd generation)
Geekbench AI Score
2876
Single Precision Score
4295
Half Precision Score
3550
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 16 2024 11:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
1791
333.1 IPS |
|
|
Image Classification (Q)
|
99% |
1782
332.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1039
16.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
993
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5178
6.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
11571
13.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
10485
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1372
108.8 IPS |
|
|
Object Detection (HP)
|
97% |
1981
157.7 IPS |
|
|
Object Detection (Q)
|
94% |
1533
122.2 IPS |
|
|
Face Detection (SP)
|
100% |
2323
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
3737
44.4 IPS |
|
|
Face Detection (Q)
|
100% |
2454
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4661
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7651
59.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
3554
27.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15579
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24419
31.4 IPS |
|
|
Style Transfer (Q)
|
100% |
24443
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3381
124.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4577
169.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3356
124.3 IPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3806
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3814
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2593
44.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4125
71.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4107
71.0 IPS |
