iPhone 11 Pro
Geekbench AI Score
1747
Single Precision Score
3140
Half Precision Score
2617
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 30 2025 10:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 11 Pro |
| Model ID | iPhone12,3 |
| Motherboard | D421AP |
| 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 | 3.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
806
149.9 IPS |
|
|
Image Classification (HP)
|
100% |
1343
249.8 IPS |
|
|
Image Classification (Q)
|
96% |
975
182.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1241
20.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1469
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3663
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
6662
7.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
5943
6.97 IPS |
|
|
Object Detection (SP)
|
100% |
761
60.4 IPS |
|
|
Object Detection (HP)
|
97% |
1595
127.0 IPS |
|
|
Object Detection (Q)
|
94% |
1170
93.2 IPS |
|
|
Face Detection (SP)
|
100% |
1677
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
3228
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
1876
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3114
24.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
5920
45.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4369
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7658
9.84 IPS |
|
|
Style Transfer (HP)
|
100% |
14435
18.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12347
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1974
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2697
99.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2149
79.4 IPS |
|
|
Text Classification (SP)
|
100% |
1391
1.86 KIPS |
|
|
Text Classification (HP)
|
99% |
2280
3.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2245
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1263
21.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3107
53.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3099
53.6 IPS |
