iPhone SE (2nd generation)
Geekbench AI Score
1578
Single Precision Score
2988
Half Precision Score
2451
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Masatako123 |
| Upload Date | November 30 2024 05:44 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPhone SE (2nd generation) |
| Model ID | iPhone12,8 |
| Motherboard | D79AP |
| CPU Information | |
|---|---|
| Name | Apple A13 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.66 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
774
144.0 IPS |
|
|
Image Classification (HP)
|
100% |
1389
258.2 IPS |
|
|
Image Classification (Q)
|
96% |
986
184.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
604
9.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
1097
17.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1275
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3422
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
6314
7.37 IPS |
|
|
Pose Estimation (Q)
|
95% |
5695
6.68 IPS |
|
|
Object Detection (SP)
|
100% |
730
57.9 IPS |
|
|
Object Detection (HP)
|
97% |
1567
124.8 IPS |
|
|
Object Detection (Q)
|
94% |
1141
90.9 IPS |
|
|
Face Detection (SP)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
3226
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1777
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2798
21.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5922
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4224
33.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6729
8.65 IPS |
|
|
Style Transfer (HP)
|
100% |
13896
17.9 IPS |
|
|
Style Transfer (Q)
|
96% |
11642
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1775
65.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2526
93.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1816
67.0 IPS |
|
|
Text Classification (SP)
|
100% |
1303
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2207
2.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2170
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1215
20.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2543
43.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2784
48.1 IPS |
