iPhone SE (2nd generation)
Geekbench AI Score
1119
Single Precision Score
3429
Half Precision Score
703
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | somata |
| Upload Date | September 26 2024 05:18 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
540
100.5 IPS |
|
|
Image Classification (HP)
|
100% |
2710
504.0 IPS |
|
|
Image Classification (Q)
|
97% |
274
51.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
438
7.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
311
5.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
3152
3.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
27909
32.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
3376
3.96 IPS |
|
|
Object Detection (SP)
|
100% |
569
45.2 IPS |
|
|
Object Detection (HP)
|
100% |
2426
192.5 IPS |
|
|
Object Detection (Q)
|
94% |
280
22.3 IPS |
|
|
Face Detection (SP)
|
100% |
941
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
6046
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
333
3.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
1738
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22232
171.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
1079
8.43 IPS |
|
|
Style Transfer (SP)
|
100% |
5416
6.96 IPS |
|
|
Style Transfer (HP)
|
100% |
10738
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
4441
5.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1541
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4365
161.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
608
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
726
969.5 IPS |
|
|
Text Classification (HP)
|
100% |
425
566.8 IPS |
|
|
Text Classification (Q)
|
93% |
423
567.6 IPS |
|
|
Machine Translation (SP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
924
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
899
15.5 IPS |
