iPhone 11
Geekbench AI Score
1601
Single Precision Score
2698
Half Precision Score
2326
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | naalansaari |
| Upload Date | October 18 2025 05:06 PM |
| Views | 7 |
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% |
759
141.1 IPS |
|
|
Image Classification (HP)
|
100% |
1142
212.4 IPS |
|
|
Image Classification (Q)
|
96% |
865
161.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
705
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1082
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3650
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
6667
7.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
5838
6.84 IPS |
|
|
Object Detection (SP)
|
100% |
685
54.3 IPS |
|
|
Object Detection (HP)
|
97% |
1290
102.7 IPS |
|
|
Object Detection (Q)
|
94% |
995
79.3 IPS |
|
|
Face Detection (SP)
|
100% |
1348
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
2645
31.4 IPS |
|
|
Face Detection (Q)
|
100% |
1616
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2835
21.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
4887
37.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
3641
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7185
9.24 IPS |
|
|
Style Transfer (HP)
|
100% |
13462
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11699
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1879
69.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2810
103.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2119
78.3 IPS |
|
|
Text Classification (SP)
|
100% |
1430
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2328
3.11 KIPS |
|
|
Text Classification (Q)
|
93% |
2390
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1125
19.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2371
41.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2455
42.4 IPS |
