iPhone 11
Geekbench AI Score
1745
Single Precision Score
3154
Half Precision Score
2621
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 05:12 PM |
| Views | 1 |
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% |
803
149.3 IPS |
|
|
Image Classification (HP)
|
100% |
1360
253.0 IPS |
|
|
Image Classification (Q)
|
96% |
980
183.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1467
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3683
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
6711
7.83 IPS |
|
|
Pose Estimation (Q)
|
95% |
5921
6.94 IPS |
|
|
Object Detection (SP)
|
100% |
766
60.8 IPS |
|
|
Object Detection (HP)
|
97% |
1588
126.4 IPS |
|
|
Object Detection (Q)
|
94% |
1168
93.1 IPS |
|
|
Face Detection (SP)
|
100% |
1678
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
3221
38.3 IPS |
|
|
Face Detection (Q)
|
100% |
1869
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3160
24.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5933
45.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4358
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7748
9.96 IPS |
|
|
Style Transfer (HP)
|
100% |
14438
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12317
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2023
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2758
101.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2179
80.4 IPS |
|
|
Text Classification (SP)
|
100% |
1393
1.86 KIPS |
|
|
Text Classification (HP)
|
99% |
2245
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2236
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1176
20.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3180
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3154
54.5 IPS |
