iPhone SE (2nd generation)
Geekbench AI Score
779
Single Precision Score
914
Half Precision Score
433
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 24 2024 10:21 AM |
| Views | 7 |
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% |
292
54.4 IPS |
|
|
Image Classification (HP)
|
100% |
353
65.7 IPS |
|
|
Image Classification (Q)
|
99% |
356
66.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
290
4.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (Q)
|
100% |
330
5.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
1694
1.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
1979
2.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
1257
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (HP)
|
100% |
651
51.7 IPS |
|
|
Object Detection (Q)
|
94% |
191
15.2 IPS |
|
|
Face Detection (SP)
|
100% |
2506
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (Q)
|
100% |
29
0.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
2367
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2431
18.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
2231
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3795
4.88 IPS |
|
|
Style Transfer (HP)
|
100% |
4840
6.22 IPS |
|
|
Style Transfer (Q)
|
100% |
4607
5.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
717
26.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
963
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
377
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
236
314.8 IPS |
|
|
Text Classification (HP)
|
100% |
400
533.6 IPS |
|
|
Text Classification (Q)
|
93% |
351
471.3 IPS |
|
|
Machine Translation (SP)
|
100% |
233
4.01 IPS |
|
|
Machine Translation (HP)
|
100% |
211
3.63 IPS |
|
|
Machine Translation (Q)
|
98% |
211
3.65 IPS |
