iPhone 11
Geekbench ML Score
1150
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 12 2024 06:04 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| 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 |
| L1 Instruction Cache | 96.0 KB x 1 |
| L1 Data Cache | 48.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 3.76 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
537
100.5 IPS |
|
|
Image Classification (F16)
|
100% |
639
119.6 IPS |
|
|
Image Classification (I8)
|
99% |
638
119.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
304
5.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
299
4.99 IPS |
|
|
Image Segmentation (I8)
|
100% |
298
4.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
3228
3.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
5504
6.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
5502
6.66 IPS |
|
|
Object Detection (F32)
|
100% |
566
42.3 IPS |
|
|
Object Detection (F16)
|
100% |
723
54.0 IPS |
|
|
Object Detection (I8)
|
97% |
564
42.1 IPS |
|
|
Face Detection (F32)
|
100% |
1134
13.5 IPS |
|
|
Face Detection (F16)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (I8)
|
99% |
1143
13.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2026
15.7 IPS |
|
|
Depth Estimation (F16)
|
99% |
2543
19.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
2539
19.7 IPS |
|
|
Style Transfer (F32)
|
100% |
5604
7.37 IPS |
|
|
Style Transfer (F16)
|
100% |
7748
10.2 IPS |
|
|
Style Transfer (I8)
|
100% |
7748
10.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1743
62.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1746
62.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1731
61.8 IPS |
|
|
Text Classification (F32)
|
100% |
644
926.2 IPS |
|
|
Text Classification (F16)
|
100% |
391
562.6 IPS |
|
|
Text Classification (I8)
|
96% |
392
563.1 IPS |
|
|
Machine Translation (F32)
|
100% |
490
9.01 IPS |
|
|
Machine Translation (F16)
|
99% |
616
11.3 IPS |
|
|
Machine Translation (I8)
|
99% |
487
8.96 IPS |
