iPhone 11
Geekbench AI Score
1175
Single Precision Score
3604
Half Precision Score
731
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 08:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A13 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
546
101.6 IPS |
|
|
Image Classification (HP)
|
100% |
2888
537.0 IPS |
|
|
Image Classification (Q)
|
97% |
274
51.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
443
7.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
501
8.12 IPS |
|
|
Image Segmentation (Q)
|
99% |
315
5.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
3357
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
28903
33.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
3450
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (HP)
|
100% |
2412
191.3 IPS |
|
|
Object Detection (Q)
|
94% |
293
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
1151
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
7017
83.4 IPS |
|
|
Face Detection (Q)
|
100% |
402
4.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
2018
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24735
190.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
970
7.57 IPS |
|
|
Style Transfer (SP)
|
100% |
4957
6.37 IPS |
|
|
Style Transfer (HP)
|
100% |
10825
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
4626
5.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1613
59.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4407
162.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
627
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
741
988.6 IPS |
|
|
Text Classification (HP)
|
100% |
433
578.0 IPS |
|
|
Text Classification (Q)
|
93% |
435
583.2 IPS |
|
|
Machine Translation (SP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1019
17.6 IPS |
