iPhone SE (3rd generation)
Geekbench AI Score
1916
Single Precision Score
10351
Half Precision Score
11229
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | sichunlam |
| Upload Date | August 15 2024 05:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
948
176.2 IPS |
|
|
Image Classification (HP)
|
100% |
4255
791.4 IPS |
|
|
Image Classification (Q)
|
99% |
5227
974.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3904
63.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3841
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5795
6.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
71168
83.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
75102
88.1 IPS |
|
|
Object Detection (SP)
|
100% |
983
78.0 IPS |
|
|
Object Detection (HP)
|
99% |
5509
438.2 IPS |
|
|
Object Detection (Q)
|
93% |
6377
508.8 IPS |
|
|
Face Detection (SP)
|
100% |
1671
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
9910
117.8 IPS |
|
|
Face Detection (Q)
|
100% |
12710
151.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3163
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
34269
264.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
36516
282.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8764
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
95265
122.5 IPS |
|
|
Style Transfer (Q)
|
100% |
98408
126.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2907
107.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13320
491.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15645
579.6 IPS |
|
|
Text Classification (SP)
|
100% |
1038
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
2706
3.61 KIPS |
|
|
Text Classification (Q)
|
93% |
2578
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1860
32.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1800
31.1 IPS |
