iPhone 11
Geekbench AI Score
1744
Single Precision Score
3136
Half Precision Score
2608
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 08 2025 07:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
793
147.5 IPS |
|
|
Image Classification (HP)
|
100% |
1352
251.4 IPS |
|
|
Image Classification (Q)
|
96% |
975
182.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
859
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1458
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3553
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
6469
7.55 IPS |
|
|
Pose Estimation (Q)
|
95% |
5775
6.77 IPS |
|
|
Object Detection (SP)
|
100% |
792
62.9 IPS |
|
|
Object Detection (HP)
|
97% |
1588
126.4 IPS |
|
|
Object Detection (Q)
|
94% |
1171
93.3 IPS |
|
|
Face Detection (SP)
|
100% |
1659
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
3209
38.1 IPS |
|
|
Face Detection (Q)
|
100% |
1844
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3078
23.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
5867
45.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4353
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7469
9.60 IPS |
|
|
Style Transfer (HP)
|
100% |
14257
18.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12284
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1946
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2740
101.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2170
80.1 IPS |
|
|
Text Classification (SP)
|
100% |
1415
1.89 KIPS |
|
|
Text Classification (HP)
|
99% |
2246
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2226
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3185
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3188
55.1 IPS |
