iPhone SE (3rd generation)
Geekbench AI Score
2642
Single Precision Score
2738
Half Precision Score
2535
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 09:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
972
180.8 IPS |
|
|
Image Classification (HP)
|
100% |
736
136.9 IPS |
|
|
Image Classification (Q)
|
97% |
473
88.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1983
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9292
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10008
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9269
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1085
86.1 IPS |
|
|
Object Detection (HP)
|
100% |
973
77.2 IPS |
|
|
Object Detection (Q)
|
91% |
709
56.6 IPS |
|
|
Face Detection (SP)
|
100% |
3418
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
3686
43.8 IPS |
|
|
Face Detection (Q)
|
100% |
3236
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6513
50.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6482
49.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6390
49.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16742
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19369
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
17963
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2811
103.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2784
102.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3380
124.8 IPS |
|
|
Text Classification (SP)
|
100% |
2364
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4058
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4024
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
345
5.94 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.47 IPS |
|
|
Machine Translation (Q)
|
98% |
352
6.08 IPS |
