iPhone SE (2nd generation)
Geekbench AI Score
892
Single Precision Score
1035
Half Precision Score
476
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 15 2024 11:20 AM |
| Views | 2 |
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% |
359
66.8 IPS |
|
|
Image Classification (Q)
|
97% |
241
44.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
337
5.47 IPS |
|
|
Image Segmentation (Q)
|
99% |
340
5.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
2246
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2706
3.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
1266
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
630
50.0 IPS |
|
|
Object Detection (HP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (Q)
|
94% |
271
21.6 IPS |
|
|
Face Detection (SP)
|
100% |
2546
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
3322
39.5 IPS |
|
|
Face Detection (Q)
|
100% |
336
3.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
2410
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3035
23.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
810
6.32 IPS |
|
|
Style Transfer (SP)
|
100% |
5839
7.51 IPS |
|
|
Style Transfer (HP)
|
100% |
5557
7.14 IPS |
|
|
Style Transfer (Q)
|
96% |
2054
2.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1191
44.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1272
47.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
433
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
231
308.0 IPS |
|
|
Text Classification (HP)
|
100% |
405
540.6 IPS |
|
|
Text Classification (Q)
|
93% |
389
521.8 IPS |
|
|
Machine Translation (SP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (HP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (Q)
|
98% |
227
3.92 IPS |
