iPhone SE (3rd generation)
Geekbench AI Score
2248
Single Precision Score
2382
Half Precision Score
833
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Bartek21 |
| Upload Date | December 02 2024 08:41 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
884
164.3 IPS |
|
|
Image Classification (HP)
|
100% |
861
160.2 IPS |
|
|
Image Classification (Q)
|
97% |
634
118.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1909
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1956
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9123
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9889
11.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
8979
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
963
76.4 IPS |
|
|
Object Detection (HP)
|
100% |
915
72.5 IPS |
|
|
Object Detection (Q)
|
92% |
761
60.7 IPS |
|
|
Face Detection (SP)
|
100% |
3882
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
4822
57.3 IPS |
|
|
Face Detection (Q)
|
100% |
3114
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6202
47.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6688
51.5 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16503
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18965
24.4 IPS |
|
|
Style Transfer (Q)
|
96% |
17311
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2753
101.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2880
106.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2351
86.8 IPS |
|
|
Text Classification (SP)
|
100% |
358
477.3 IPS |
|
|
Text Classification (HP)
|
100% |
355
473.8 IPS |
|
|
Text Classification (Q)
|
93% |
204
274.1 IPS |
|
|
Machine Translation (SP)
|
100% |
578
9.96 IPS |
|
|
Machine Translation (HP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (Q)
|
98% |
741
12.8 IPS |
