iPhone SE (3rd generation)
Geekbench AI Score
1891
Single Precision Score
10504
Half Precision Score
11178
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | kdw4gb |
| Upload Date | August 19 2024 08:33 AM |
| Views | 3 |
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% |
946
175.9 IPS |
|
|
Image Classification (HP)
|
100% |
4213
783.5 IPS |
|
|
Image Classification (Q)
|
99% |
4742
884.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3808
61.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
3793
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5565
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
72678
84.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
74911
87.9 IPS |
|
|
Object Detection (SP)
|
100% |
953
75.6 IPS |
|
|
Object Detection (HP)
|
99% |
5363
426.6 IPS |
|
|
Object Detection (Q)
|
93% |
6828
544.8 IPS |
|
|
Face Detection (SP)
|
100% |
1646
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
10371
123.2 IPS |
|
|
Face Detection (Q)
|
100% |
12209
145.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3148
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34075
262.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
37168
287.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8796
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
103469
133.0 IPS |
|
|
Style Transfer (Q)
|
100% |
99332
127.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2870
106.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13250
489.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15079
558.7 IPS |
|
|
Text Classification (SP)
|
100% |
1016
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2749
3.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1360
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1848
31.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1773
30.6 IPS |
