iPhone SE (3rd generation)
Geekbench AI Score
2653
Single Precision Score
2933
Half Precision Score
2441
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 22 2025 03:36 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
785
146.0 IPS |
|
|
Image Classification (HP)
|
100% |
847
157.6 IPS |
|
|
Image Classification (Q)
|
97% |
471
87.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1930
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1961
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9278
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9999
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9284
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1118
88.7 IPS |
|
|
Object Detection (HP)
|
100% |
1030
81.7 IPS |
|
|
Object Detection (Q)
|
91% |
759
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
4218
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
4974
59.1 IPS |
|
|
Face Detection (Q)
|
100% |
3049
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6426
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6622
51.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6168
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16667
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19399
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
17974
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2887
106.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2882
106.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2361
87.2 IPS |
|
|
Text Classification (SP)
|
100% |
2364
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4096
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4083
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
357
6.16 IPS |
|
|
Machine Translation (HP)
|
100% |
362
6.24 IPS |
|
|
Machine Translation (Q)
|
98% |
355
6.13 IPS |
