iPhone SE (3rd generation)
Geekbench AI Score
1906
Single Precision Score
10177
Half Precision Score
11064
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | kdw4gb |
| Upload Date | August 19 2024 08:43 AM |
| Views | 2 |
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% |
952
177.1 IPS |
|
|
Image Classification (HP)
|
100% |
4349
808.8 IPS |
|
|
Image Classification (Q)
|
99% |
4667
870.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3756
60.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
3842
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5679
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
70331
82.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
75466
88.5 IPS |
|
|
Object Detection (SP)
|
100% |
979
77.7 IPS |
|
|
Object Detection (HP)
|
99% |
4851
385.9 IPS |
|
|
Object Detection (Q)
|
93% |
6521
520.3 IPS |
|
|
Face Detection (SP)
|
100% |
1651
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
10306
122.5 IPS |
|
|
Face Detection (Q)
|
100% |
12520
148.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3203
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35404
272.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
37613
290.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9115
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
96914
124.6 IPS |
|
|
Style Transfer (Q)
|
100% |
98707
126.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2805
103.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13219
488.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15354
568.8 IPS |
|
|
Text Classification (SP)
|
100% |
1015
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2434
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2438
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1362
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1881
32.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1791
30.9 IPS |
