iPhone 11 Pro
Geekbench AI Score
1673
Single Precision Score
3101
Half Precision Score
2564
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 09:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
790
147.0 IPS |
|
|
Image Classification (HP)
|
100% |
1384
257.5 IPS |
|
|
Image Classification (Q)
|
96% |
985
183.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1452
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3485
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
6322
7.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
5707
6.69 IPS |
|
|
Object Detection (SP)
|
100% |
727
57.6 IPS |
|
|
Object Detection (HP)
|
97% |
1589
126.5 IPS |
|
|
Object Detection (Q)
|
94% |
1145
91.3 IPS |
|
|
Face Detection (SP)
|
100% |
1626
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
3198
38.0 IPS |
|
|
Face Detection (Q)
|
100% |
1830
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3039
23.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
5838
45.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
4336
33.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7418
9.54 IPS |
|
|
Style Transfer (HP)
|
100% |
14001
18.0 IPS |
|
|
Style Transfer (Q)
|
96% |
12040
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1966
72.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2679
98.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2102
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1290
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2168
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2150
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1153
19.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3090
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3049
52.7 IPS |
