iPhone SE (2nd generation)
Geekbench AI Score
1155
Single Precision Score
3520
Half Precision Score
1403
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | chaseps |
| Upload Date | September 05 2024 09:07 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
548
101.9 IPS |
|
|
Image Classification (HP)
|
100% |
2808
522.2 IPS |
|
|
Image Classification (Q)
|
99% |
2813
524.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
440
7.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
511
8.28 IPS |
|
|
Image Segmentation (Q)
|
100% |
503
8.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
3224
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
28334
33.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
3215
3.77 IPS |
|
|
Object Detection (SP)
|
100% |
555
44.0 IPS |
|
|
Object Detection (HP)
|
100% |
2416
191.7 IPS |
|
|
Object Detection (Q)
|
94% |
268
21.4 IPS |
|
|
Face Detection (SP)
|
100% |
1107
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
6850
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
419
4.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
2007
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22771
175.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
22606
174.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5303
6.82 IPS |
|
|
Style Transfer (HP)
|
100% |
11107
14.3 IPS |
|
|
Style Transfer (Q)
|
100% |
11058
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1629
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4416
163.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
605
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
711
948.5 IPS |
|
|
Text Classification (HP)
|
100% |
419
559.7 IPS |
|
|
Text Classification (Q)
|
93% |
418
561.2 IPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
919
15.9 IPS |
