iPhone SE (2nd generation)
Geekbench AI Score
1597
Single Precision Score
2697
Half Precision Score
2237
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | August 16 2024 01:43 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
754
140.2 IPS |
|
|
Image Classification (HP)
|
100% |
1147
213.3 IPS |
|
|
Image Classification (Q)
|
99% |
1139
212.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
705
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
773
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3624
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
6578
7.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
5803
6.80 IPS |
|
|
Object Detection (SP)
|
100% |
685
54.3 IPS |
|
|
Object Detection (HP)
|
97% |
1326
105.5 IPS |
|
|
Object Detection (Q)
|
94% |
1000
79.7 IPS |
|
|
Face Detection (SP)
|
100% |
1349
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (Q)
|
100% |
1639
19.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2860
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4852
37.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
2404
18.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6810
8.75 IPS |
|
|
Style Transfer (HP)
|
100% |
13331
17.1 IPS |
|
|
Style Transfer (Q)
|
100% |
13316
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2026
74.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2740
101.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2084
77.2 IPS |
|
|
Text Classification (SP)
|
100% |
1418
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2398
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2391
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2349
40.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2354
40.7 IPS |
