iPhone 11
Geekbench AI Score
1702
Single Precision Score
3159
Half Precision Score
2581
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | nugaetechnicae |
| Upload Date | July 22 2025 08:49 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
791
147.0 IPS |
|
|
Image Classification (HP)
|
100% |
1380
256.6 IPS |
|
|
Image Classification (Q)
|
96% |
992
185.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
806
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1188
19.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1356
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3650
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
6742
7.87 IPS |
|
|
Pose Estimation (Q)
|
95% |
5970
7.00 IPS |
|
|
Object Detection (SP)
|
100% |
728
57.8 IPS |
|
|
Object Detection (HP)
|
97% |
1582
126.0 IPS |
|
|
Object Detection (Q)
|
94% |
1159
92.4 IPS |
|
|
Face Detection (SP)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3165
37.6 IPS |
|
|
Face Detection (Q)
|
100% |
1856
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3065
23.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5531
42.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4124
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7756
9.97 IPS |
|
|
Style Transfer (HP)
|
100% |
14621
18.8 IPS |
|
|
Style Transfer (Q)
|
96% |
12464
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1926
71.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2568
94.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2063
76.2 IPS |
|
|
Text Classification (SP)
|
100% |
1334
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2598
3.47 KIPS |
|
|
Text Classification (Q)
|
93% |
2208
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1215
20.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3317
57.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3249
56.1 IPS |
