iPhone SE (2nd generation)
Geekbench AI Score
901
Single Precision Score
1059
Half Precision Score
475
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 06:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
291
54.1 IPS |
|
|
Image Classification (HP)
|
100% |
365
67.9 IPS |
|
|
Image Classification (Q)
|
97% |
241
44.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
305
4.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
340
5.52 IPS |
|
|
Image Segmentation (Q)
|
99% |
342
5.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
2371
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
3048
3.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
1260
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
611
48.5 IPS |
|
|
Object Detection (HP)
|
100% |
617
49.0 IPS |
|
|
Object Detection (Q)
|
94% |
283
22.6 IPS |
|
|
Face Detection (SP)
|
100% |
2522
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
3322
39.5 IPS |
|
|
Face Detection (Q)
|
100% |
318
3.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
2415
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3020
23.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
777
6.07 IPS |
|
|
Style Transfer (SP)
|
100% |
5920
7.61 IPS |
|
|
Style Transfer (HP)
|
100% |
6120
7.87 IPS |
|
|
Style Transfer (Q)
|
96% |
2087
2.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1226
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1322
48.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
449
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
233
310.5 IPS |
|
|
Text Classification (HP)
|
100% |
399
531.9 IPS |
|
|
Text Classification (Q)
|
93% |
402
539.2 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (HP)
|
100% |
235
4.05 IPS |
|
|
Machine Translation (Q)
|
98% |
215
3.72 IPS |
