iPhone 11
Geekbench AI Score
1616
Single Precision Score
2707
Half Precision Score
2340
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | luchnik |
| Upload Date | July 21 2025 02:37 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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% |
771
143.4 IPS |
|
|
Image Classification (HP)
|
100% |
1154
214.6 IPS |
|
|
Image Classification (Q)
|
96% |
869
162.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
721
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
796
12.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1087
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3606
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6586
7.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
5839
6.84 IPS |
|
|
Object Detection (SP)
|
100% |
687
54.5 IPS |
|
|
Object Detection (HP)
|
97% |
1316
104.8 IPS |
|
|
Object Detection (Q)
|
94% |
1006
80.2 IPS |
|
|
Face Detection (SP)
|
100% |
1380
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
2648
31.5 IPS |
|
|
Face Detection (Q)
|
100% |
1649
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2905
22.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
4891
37.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
3725
29.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7256
9.33 IPS |
|
|
Style Transfer (HP)
|
100% |
13483
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11737
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1922
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2654
98.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2124
78.4 IPS |
|
|
Text Classification (SP)
|
100% |
1420
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2406
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2407
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1117
19.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2388
41.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2408
41.6 IPS |
