iPhone 11
Geekbench AI Score
1611
Single Precision Score
2698
Half Precision Score
2331
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | naalansaari |
| Upload Date | October 18 2025 05:21 PM |
| Views | 8 |
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% |
751
139.7 IPS |
|
|
Image Classification (HP)
|
100% |
1149
213.7 IPS |
|
|
Image Classification (Q)
|
96% |
865
161.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
704
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1080
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3643
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
6678
7.79 IPS |
|
|
Pose Estimation (Q)
|
95% |
5895
6.91 IPS |
|
|
Object Detection (SP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (HP)
|
97% |
1317
104.8 IPS |
|
|
Object Detection (Q)
|
94% |
1007
80.2 IPS |
|
|
Face Detection (SP)
|
100% |
1369
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
2635
31.3 IPS |
|
|
Face Detection (Q)
|
100% |
1650
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2939
22.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
4899
37.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
3764
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7357
9.46 IPS |
|
|
Style Transfer (HP)
|
100% |
13630
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11778
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1945
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2628
97.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2115
78.1 IPS |
|
|
Text Classification (SP)
|
100% |
1418
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2401
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2378
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1083
18.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2343
40.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2323
40.2 IPS |
