iPhone 11 Pro
Geekbench AI Score
1552
Single Precision Score
2905
Half Precision Score
2413
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 12:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
755
140.5 IPS |
|
|
Image Classification (HP)
|
100% |
1321
245.6 IPS |
|
|
Image Classification (Q)
|
96% |
893
166.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
762
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1389
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2448
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
5233
6.11 IPS |
|
|
Pose Estimation (Q)
|
95% |
4586
5.38 IPS |
|
|
Object Detection (SP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (HP)
|
97% |
1504
119.7 IPS |
|
|
Object Detection (Q)
|
94% |
1104
88.0 IPS |
|
|
Face Detection (SP)
|
100% |
1514
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (Q)
|
100% |
1652
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2780
21.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
4864
37.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
3934
30.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5887
7.57 IPS |
|
|
Style Transfer (HP)
|
100% |
12888
16.6 IPS |
|
|
Style Transfer (Q)
|
96% |
11373
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1884
69.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2805
103.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2104
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
1456
1.94 KIPS |
|
|
Text Classification (HP)
|
99% |
2287
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2278
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1150
19.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2971
51.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3016
52.1 IPS |
