iPhone 11 Pro
Geekbench ML Score
2013
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 12 2024 08:51 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
786
147.1 IPS |
|
|
Image Classification (F16)
|
100% |
1353
253.2 IPS |
|
|
Image Classification (I8)
|
99% |
1359
254.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
441
7.36 IPS |
|
|
Image Segmentation (F16)
|
100% |
551
9.21 IPS |
|
|
Image Segmentation (I8)
|
100% |
556
9.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
3547
4.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
6390
7.74 IPS |
|
|
Pose Estimation (I8)
|
100% |
6394
7.74 IPS |
|
|
Object Detection (F32)
|
100% |
694
51.8 IPS |
|
|
Object Detection (F16)
|
100% |
1359
101.5 IPS |
|
|
Object Detection (I8)
|
97% |
698
52.1 IPS |
|
|
Face Detection (F32)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (F16)
|
97% |
3157
37.5 IPS |
|
|
Face Detection (I8)
|
97% |
3155
37.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3196
24.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5963
46.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
5969
46.3 IPS |
|
|
Style Transfer (F32)
|
100% |
7722
10.2 IPS |
|
|
Style Transfer (F16)
|
100% |
13757
18.1 IPS |
|
|
Style Transfer (I8)
|
100% |
13947
18.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2170
77.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2803
100.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2772
99.0 IPS |
|
|
Text Classification (F32)
|
100% |
1131
1.63 KIPS |
|
|
Text Classification (F16)
|
100% |
1898
2.73 KIPS |
|
|
Text Classification (I8)
|
96% |
1893
2.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
626
11.5 IPS |
|
|
Machine Translation (F16)
|
100% |
962
17.7 IPS |
|
|
Machine Translation (I8)
|
99% |
629
11.6 IPS |
