iPhone SE (3rd generation)
Geekbench AI Score
3150
Single Precision Score
5434
Half Precision Score
4395
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 24 2024 08:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1358
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
2347
436.4 IPS |
|
|
Image Classification (Q)
|
96% |
1626
303.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2431
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5928
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
12927
15.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11266
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1356
107.6 IPS |
|
|
Object Detection (HP)
|
97% |
2503
199.3 IPS |
|
|
Object Detection (Q)
|
94% |
1793
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
2679
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5403
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
2996
35.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5117
39.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10612
82.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7237
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16061
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25448
32.7 IPS |
|
|
Style Transfer (Q)
|
96% |
20940
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3703
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4532
167.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3296
121.7 IPS |
|
|
Text Classification (SP)
|
100% |
2425
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4083
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4092
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3384
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5522
95.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5501
95.1 IPS |
