iPhone 11
Geekbench AI Score
786
Single Precision Score
1166
Half Precision Score
844
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | naalansarie |
| Upload Date | December 16 2025 04:59 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
388
72.1 IPS |
|
|
Image Classification (HP)
|
100% |
677
125.9 IPS |
|
|
Image Classification (Q)
|
96% |
486
90.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
350
5.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
363
5.88 IPS |
|
|
Image Segmentation (Q)
|
99% |
604
9.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
1853
2.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
3777
4.41 IPS |
|
|
Pose Estimation (Q)
|
95% |
3369
3.95 IPS |
|
|
Object Detection (SP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (HP)
|
97% |
719
57.2 IPS |
|
|
Object Detection (Q)
|
94% |
558
44.5 IPS |
|
|
Face Detection (SP)
|
100% |
813
9.66 IPS |
|
|
Face Detection (HP)
|
100% |
1569
18.6 IPS |
|
|
Face Detection (Q)
|
100% |
991
11.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1538
11.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
3015
23.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
718
5.61 IPS |
|
|
Style Transfer (SP)
|
100% |
3957
5.09 IPS |
|
|
Style Transfer (HP)
|
100% |
7548
9.70 IPS |
|
|
Style Transfer (Q)
|
96% |
6620
8.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
914
33.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
418
15.4 IPS |
|
|
Text Classification (SP)
|
100% |
441
588.8 IPS |
|
|
Text Classification (HP)
|
100% |
251
335.0 IPS |
|
|
Text Classification (Q)
|
93% |
230
308.2 IPS |
|
|
Machine Translation (SP)
|
100% |
478
8.23 IPS |
|
|
Machine Translation (HP)
|
96% |
780
13.5 IPS |
|
|
Machine Translation (Q)
|
98% |
740
12.8 IPS |
