iPhone 11
Geekbench AI Score
1712
Single Precision Score
3112
Half Precision Score
2573
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | geeknat |
| Upload Date | January 11 2026 07:43 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
827
153.9 IPS |
|
|
Image Classification (HP)
|
100% |
1356
252.2 IPS |
|
|
Image Classification (Q)
|
96% |
977
182.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
842
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1236
20.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1433
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3435
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
6482
7.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
5792
6.79 IPS |
|
|
Object Detection (SP)
|
100% |
790
62.7 IPS |
|
|
Object Detection (HP)
|
97% |
1564
124.5 IPS |
|
|
Object Detection (Q)
|
94% |
1149
91.6 IPS |
|
|
Face Detection (SP)
|
100% |
1636
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3179
37.8 IPS |
|
|
Face Detection (Q)
|
100% |
1817
21.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2935
22.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
5788
44.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4302
33.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7325
9.42 IPS |
|
|
Style Transfer (HP)
|
100% |
14199
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11866
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1919
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2737
101.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2129
78.6 IPS |
|
|
Text Classification (SP)
|
100% |
1402
1.87 KIPS |
|
|
Text Classification (HP)
|
99% |
2260
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2267
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1215
20.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3112
53.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3049
52.7 IPS |
