iPhone 11 Pro
Geekbench AI Score
1677
Single Precision Score
3130
Half Precision Score
2478
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 06:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| 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 | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
804
149.6 IPS |
|
|
Image Classification (HP)
|
100% |
1337
248.6 IPS |
|
|
Image Classification (Q)
|
96% |
972
181.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1244
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1444
23.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3560
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
6502
7.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
5822
6.82 IPS |
|
|
Object Detection (SP)
|
100% |
786
62.3 IPS |
|
|
Object Detection (HP)
|
97% |
1586
126.3 IPS |
|
|
Object Detection (Q)
|
94% |
1169
93.2 IPS |
|
|
Face Detection (SP)
|
100% |
1670
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
3194
37.9 IPS |
|
|
Face Detection (Q)
|
100% |
1055
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2180
16.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
5739
44.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4076
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6791
8.73 IPS |
|
|
Style Transfer (HP)
|
100% |
14260
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12112
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2021
74.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2704
99.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2154
79.5 IPS |
|
|
Text Classification (SP)
|
100% |
1404
1.87 KIPS |
|
|
Text Classification (HP)
|
99% |
2339
3.12 KIPS |
|
|
Text Classification (Q)
|
93% |
2561
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3192
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3188
55.1 IPS |
