iPhone SE (2nd generation)
Geekbench AI Score
842
Single Precision Score
1004
Half Precision Score
581
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 03 2024 11:44 AM |
| Views | 3 |
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% |
295
54.8 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.2 IPS |
|
|
Image Classification (Q)
|
99% |
358
66.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
339
5.49 IPS |
|
|
Image Segmentation (Q)
|
100% |
341
5.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
2355
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3096
3.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
1253
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (HP)
|
100% |
661
52.5 IPS |
|
|
Object Detection (Q)
|
94% |
199
15.9 IPS |
|
|
Face Detection (SP)
|
100% |
2506
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
2874
34.2 IPS |
|
|
Face Detection (Q)
|
100% |
269
3.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
2340
18.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2489
19.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
2503
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4251
5.47 IPS |
|
|
Style Transfer (HP)
|
100% |
5382
6.92 IPS |
|
|
Style Transfer (Q)
|
100% |
5661
7.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
877
32.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1211
44.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
430
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
233
310.3 IPS |
|
|
Text Classification (HP)
|
100% |
388
518.4 IPS |
|
|
Text Classification (Q)
|
93% |
376
504.6 IPS |
|
|
Machine Translation (SP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (HP)
|
100% |
228
3.93 IPS |
|
|
Machine Translation (Q)
|
98% |
235
4.05 IPS |
