iPhone SE (3rd generation)
Geekbench AI Score
3282
Single Precision Score
19252
Half Precision Score
21348
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | kdw4gb |
| Upload Date | November 22 2024 06:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1360
252.9 IPS |
|
|
Image Classification (HP)
|
100% |
9413
1.75 KIPS |
|
|
Image Classification (Q)
|
96% |
10010
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12599
204.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13989
226.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6349
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
85105
99.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
94188
110.4 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
99% |
10758
855.8 IPS |
|
|
Object Detection (Q)
|
91% |
11414
912.0 IPS |
|
|
Face Detection (SP)
|
100% |
2805
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
25591
304.1 IPS |
|
|
Face Detection (Q)
|
100% |
32209
382.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5500
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
55477
427.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
74727
584.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17208
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
155366
199.7 IPS |
|
|
Style Transfer (Q)
|
96% |
153906
198.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3857
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27307
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28749
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2377
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3450
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4680
80.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5160
89.2 IPS |
