iPhone 11 Pro
Geekbench ML Score
1245
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 07 2024 12:45 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6.1 |
| 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 |
| 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 | 3.68 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
534
100.0 IPS |
|
|
Image Classification (F16)
|
100% |
634
118.7 IPS |
|
|
Image Classification (I8)
|
99% |
638
119.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
425
7.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
424
7.07 IPS |
|
|
Image Segmentation (I8)
|
100% |
425
7.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
3239
3.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
5512
6.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
5509
6.67 IPS |
|
|
Object Detection (F32)
|
100% |
562
42.0 IPS |
|
|
Object Detection (F16)
|
100% |
721
53.8 IPS |
|
|
Object Detection (I8)
|
97% |
562
41.9 IPS |
|
|
Face Detection (F32)
|
100% |
1106
13.1 IPS |
|
|
Face Detection (F16)
|
100% |
1148
13.6 IPS |
|
|
Face Detection (I8)
|
99% |
1148
13.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1961
15.2 IPS |
|
|
Depth Estimation (F16)
|
99% |
2535
19.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
2523
19.6 IPS |
|
|
Style Transfer (F32)
|
100% |
5584
7.34 IPS |
|
|
Style Transfer (F16)
|
100% |
7622
10.0 IPS |
|
|
Style Transfer (I8)
|
100% |
7647
10.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1661
59.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1730
61.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1732
61.9 IPS |
|
|
Text Classification (F32)
|
100% |
637
915.4 IPS |
|
|
Text Classification (F16)
|
100% |
405
581.9 IPS |
|
|
Text Classification (I8)
|
96% |
398
571.6 IPS |
|
|
Machine Translation (F32)
|
100% |
740
13.6 IPS |
|
|
Machine Translation (F16)
|
99% |
1199
22.1 IPS |
|
|
Machine Translation (I8)
|
99% |
731
13.5 IPS |
