iPhone SE (2nd generation)
Geekbench AI Score
865
Single Precision Score
1021
Half Precision Score
584
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 29 2024 12:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
301
55.9 IPS |
|
|
Image Classification (HP)
|
100% |
360
67.0 IPS |
|
|
Image Classification (Q)
|
99% |
360
67.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.47 IPS |
|
|
Image Segmentation (Q)
|
100% |
342
5.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
2349
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3084
3.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
1249
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (HP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (Q)
|
94% |
208
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
2606
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (Q)
|
100% |
270
3.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
2476
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2505
19.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
2488
19.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4370
5.62 IPS |
|
|
Style Transfer (HP)
|
100% |
5656
7.27 IPS |
|
|
Style Transfer (Q)
|
100% |
5685
7.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
904
33.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1223
45.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
430
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
238
317.4 IPS |
|
|
Text Classification (HP)
|
100% |
406
541.7 IPS |
|
|
Text Classification (Q)
|
93% |
398
534.4 IPS |
|
|
Machine Translation (SP)
|
100% |
265
4.57 IPS |
|
|
Machine Translation (HP)
|
100% |
234
4.04 IPS |
|
|
Machine Translation (Q)
|
98% |
224
3.87 IPS |
