iPhone SE (2nd generation)
Geekbench AI Score
1125
Single Precision Score
3492
Half Precision Score
1367
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | August 16 2024 01:56 AM |
| Views | 6 |
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% |
538
100.1 IPS |
|
|
Image Classification (HP)
|
100% |
2837
527.6 IPS |
|
|
Image Classification (Q)
|
99% |
2960
552.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
431
6.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
502
8.13 IPS |
|
|
Image Segmentation (Q)
|
100% |
501
8.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
3271
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
27990
32.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
3308
3.88 IPS |
|
|
Object Detection (SP)
|
100% |
568
45.0 IPS |
|
|
Object Detection (HP)
|
100% |
2449
194.2 IPS |
|
|
Object Detection (Q)
|
94% |
222
17.7 IPS |
|
|
Face Detection (SP)
|
100% |
1065
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
6861
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
368
4.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
1894
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23047
177.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
23921
184.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4443
5.71 IPS |
|
|
Style Transfer (HP)
|
100% |
10939
14.1 IPS |
|
|
Style Transfer (Q)
|
100% |
10765
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1629
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3896
143.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
595
22.0 IPS |
|
|
Text Classification (SP)
|
100% |
724
966.2 IPS |
|
|
Text Classification (HP)
|
100% |
433
578.4 IPS |
|
|
Text Classification (Q)
|
93% |
434
582.1 IPS |
|
|
Machine Translation (SP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
861
14.9 IPS |
