iPhone 11
Geekbench AI Score
1627
Single Precision Score
2740
Half Precision Score
2346
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
765
142.3 IPS |
|
|
Image Classification (HP)
|
100% |
1154
214.6 IPS |
|
|
Image Classification (Q)
|
96% |
868
162.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
713
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1084
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3559
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
6546
7.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
5816
6.82 IPS |
|
|
Object Detection (SP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (HP)
|
97% |
1325
105.5 IPS |
|
|
Object Detection (Q)
|
94% |
1014
80.8 IPS |
|
|
Face Detection (SP)
|
100% |
1394
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (Q)
|
100% |
1659
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2923
22.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
4883
37.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
3770
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7280
9.36 IPS |
|
|
Style Transfer (HP)
|
100% |
13591
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11900
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1919
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2821
104.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2142
79.1 IPS |
|
|
Text Classification (SP)
|
100% |
1428
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2416
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2502
43.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2364
40.9 IPS |
