iPhone 11
Geekbench AI Score
1055
Single Precision Score
3326
Half Precision Score
659
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | andreyshunt |
| Upload Date | May 08 2025 07:12 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| Model | iPhone 11 |
| Model ID | iPhone12,1 |
| Motherboard | N104AP |
| 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 | 3.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
541
100.6 IPS |
|
|
Image Classification (HP)
|
100% |
2742
509.9 IPS |
|
|
Image Classification (Q)
|
97% |
274
51.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
434
7.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
498
8.07 IPS |
|
|
Image Segmentation (Q)
|
99% |
304
4.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
3060
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
28334
33.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3121
3.66 IPS |
|
|
Object Detection (SP)
|
100% |
532
42.2 IPS |
|
|
Object Detection (HP)
|
100% |
2295
182.0 IPS |
|
|
Object Detection (Q)
|
94% |
257
20.5 IPS |
|
|
Face Detection (SP)
|
100% |
1014
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
6201
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
318
3.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
1656
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21835
168.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
914
7.14 IPS |
|
|
Style Transfer (SP)
|
100% |
4505
5.79 IPS |
|
|
Style Transfer (HP)
|
100% |
10393
13.4 IPS |
|
|
Style Transfer (Q)
|
96% |
4036
5.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1595
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4347
160.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
551
20.3 IPS |
|
|
Text Classification (SP)
|
100% |
699
932.8 IPS |
|
|
Text Classification (HP)
|
100% |
404
539.4 IPS |
|
|
Text Classification (Q)
|
93% |
400
536.4 IPS |
|
|
Machine Translation (SP)
|
100% |
531
9.14 IPS |
|
|
Machine Translation (HP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (Q)
|
98% |
905
15.6 IPS |
