iPhone 11
Geekbench AI Score
1029
Single Precision Score
2147
Half Precision Score
1807
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 29 2025 10:03 AM |
| Views | 2 |
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% |
790
147.0 IPS |
|
|
Image Classification (HP)
|
100% |
1370
254.7 IPS |
|
|
Image Classification (Q)
|
96% |
990
184.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1334
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3351
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
4797
5.60 IPS |
|
|
Pose Estimation (Q)
|
95% |
4553
5.34 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (HP)
|
97% |
888
70.7 IPS |
|
|
Object Detection (Q)
|
94% |
906
72.2 IPS |
|
|
Face Detection (SP)
|
100% |
763
9.07 IPS |
|
|
Face Detection (HP)
|
100% |
2045
24.3 IPS |
|
|
Face Detection (Q)
|
100% |
845
10.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1476
11.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
2666
20.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
2708
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4164
5.35 IPS |
|
|
Style Transfer (HP)
|
100% |
9546
12.3 IPS |
|
|
Style Transfer (Q)
|
96% |
8336
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1044
38.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1888
69.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1550
57.2 IPS |
|
|
Text Classification (SP)
|
100% |
627
836.9 IPS |
|
|
Text Classification (HP)
|
100% |
1564
2.09 KIPS |
|
|
Text Classification (Q)
|
93% |
1174
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
546
9.40 IPS |
|
|
Machine Translation (HP)
|
98% |
1990
34.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1967
34.0 IPS |
