iPhone 11 (A2111) iPhone 11
Geekbench AI Score
1647
Single Precision Score
2723
Half Precision Score
2309
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | precisionxt |
| Upload Date | November 05 2025 06:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7 |
| 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% |
762
141.6 IPS |
|
|
Image Classification (HP)
|
100% |
1152
214.2 IPS |
|
|
Image Classification (Q)
|
96% |
865
161.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1086
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3691
4.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
6754
7.88 IPS |
|
|
Pose Estimation (Q)
|
95% |
5968
6.99 IPS |
|
|
Object Detection (SP)
|
100% |
691
54.8 IPS |
|
|
Object Detection (HP)
|
97% |
1347
107.2 IPS |
|
|
Object Detection (Q)
|
94% |
1021
81.4 IPS |
|
|
Face Detection (SP)
|
100% |
1396
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
2687
31.9 IPS |
|
|
Face Detection (Q)
|
100% |
1673
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3002
23.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
4907
37.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
3770
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7560
9.72 IPS |
|
|
Style Transfer (HP)
|
100% |
13651
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11749
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2078
76.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2668
98.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2128
78.6 IPS |
|
|
Text Classification (SP)
|
100% |
1403
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2382
3.18 KIPS |
|
|
Text Classification (Q)
|
93% |
1967
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1146
19.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2433
42.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2428
42.0 IPS |
