iPhone SE (2nd generation)
Geekbench AI Score
893
Single Precision Score
1015
Half Precision Score
442
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2024 11:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
294
54.6 IPS |
|
|
Image Classification (HP)
|
100% |
362
67.3 IPS |
|
|
Image Classification (Q)
|
97% |
241
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
343
5.56 IPS |
|
|
Image Segmentation (Q)
|
99% |
339
5.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
2304
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2943
3.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
1262
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
653
51.8 IPS |
|
|
Object Detection (HP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (Q)
|
94% |
197
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
2515
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (Q)
|
100% |
258
3.06 IPS |
|
|
Depth Estimation (SP)
|
100% |
2383
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2541
19.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
701
5.47 IPS |
|
|
Style Transfer (SP)
|
100% |
5828
7.49 IPS |
|
|
Style Transfer (HP)
|
100% |
5421
6.97 IPS |
|
|
Style Transfer (Q)
|
96% |
2054
2.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1186
43.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1251
46.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
430
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
236
314.4 IPS |
|
|
Text Classification (HP)
|
100% |
404
539.1 IPS |
|
|
Text Classification (Q)
|
93% |
385
516.7 IPS |
|
|
Machine Translation (SP)
|
100% |
241
4.16 IPS |
|
|
Machine Translation (HP)
|
100% |
225
3.87 IPS |
|
|
Machine Translation (Q)
|
98% |
228
3.93 IPS |
