iPhone 11 Pro
Geekbench AI Score
1693
Single Precision Score
3090
Half Precision Score
2560
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | piotrga |
| Upload Date | September 22 2025 06:16 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
804
149.5 IPS |
|
|
Image Classification (HP)
|
100% |
1354
251.8 IPS |
|
|
Image Classification (Q)
|
96% |
972
181.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
845
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1232
20.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1449
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3183
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
6264
7.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
5486
6.43 IPS |
|
|
Object Detection (SP)
|
100% |
770
61.1 IPS |
|
|
Object Detection (HP)
|
97% |
1574
125.3 IPS |
|
|
Object Detection (Q)
|
94% |
1164
92.8 IPS |
|
|
Face Detection (SP)
|
100% |
1669
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
3194
38.0 IPS |
|
|
Face Detection (Q)
|
100% |
1839
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3023
23.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
5897
45.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4281
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6869
8.83 IPS |
|
|
Style Transfer (HP)
|
100% |
14085
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
11628
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1991
73.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2683
99.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2161
79.8 IPS |
|
|
Text Classification (SP)
|
100% |
1379
1.84 KIPS |
|
|
Text Classification (HP)
|
99% |
2251
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2251
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1222
21.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3020
52.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3019
52.2 IPS |
