iPhone SE (3rd generation)
Geekbench AI Score
1589
Single Precision Score
10994
Half Precision Score
12069
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 03:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
577
107.4 IPS |
|
|
Image Classification (HP)
|
100% |
5890
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
6006
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
710
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7586
123.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9358
151.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2988
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
38423
44.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
38078
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
661
52.4 IPS |
|
|
Object Detection (HP)
|
99% |
6120
486.9 IPS |
|
|
Object Detection (Q)
|
91% |
6429
513.7 IPS |
|
|
Face Detection (SP)
|
100% |
1616
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
12743
151.4 IPS |
|
|
Face Detection (Q)
|
100% |
16162
192.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2518
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
32525
250.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
38275
299.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7920
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
76892
98.8 IPS |
|
|
Style Transfer (Q)
|
96% |
74956
96.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15231
562.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17665
652.3 IPS |
|
|
Text Classification (SP)
|
100% |
1162
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1691
2.26 KIPS |
|
|
Text Classification (Q)
|
93% |
1835
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1884
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2993
51.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3171
54.8 IPS |
