iPhone 11 Pro
Geekbench ML Score
1249
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 03 2024 07:51 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.1 |
| 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 |
| 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% |
537
100.5 IPS |
|
|
Image Classification (F16)
|
100% |
640
119.8 IPS |
|
|
Image Classification (I8)
|
99% |
642
120.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
425
7.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
422
7.05 IPS |
|
|
Image Segmentation (I8)
|
100% |
423
7.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
3218
3.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
5555
6.73 IPS |
|
|
Pose Estimation (I8)
|
100% |
5525
6.69 IPS |
|
|
Object Detection (F32)
|
100% |
568
42.4 IPS |
|
|
Object Detection (F16)
|
100% |
734
54.8 IPS |
|
|
Object Detection (I8)
|
97% |
572
42.7 IPS |
|
|
Face Detection (F32)
|
100% |
1094
13.0 IPS |
|
|
Face Detection (F16)
|
100% |
1150
13.7 IPS |
|
|
Face Detection (I8)
|
99% |
1153
13.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1973
15.3 IPS |
|
|
Depth Estimation (F16)
|
99% |
2496
19.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2503
19.4 IPS |
|
|
Style Transfer (F32)
|
100% |
5534
7.28 IPS |
|
|
Style Transfer (F16)
|
100% |
7544
9.92 IPS |
|
|
Style Transfer (I8)
|
100% |
7535
9.91 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1673
59.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1741
62.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1740
62.1 IPS |
|
|
Text Classification (F32)
|
100% |
662
952.1 IPS |
|
|
Text Classification (F16)
|
100% |
403
579.3 IPS |
|
|
Text Classification (I8)
|
96% |
401
576.8 IPS |
|
|
Machine Translation (F32)
|
100% |
752
13.8 IPS |
|
|
Machine Translation (F16)
|
99% |
1218
22.4 IPS |
|
|
Machine Translation (I8)
|
99% |
733
13.5 IPS |
