iPhone 11
Geekbench ML Score
2039
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 01 2024 07:23 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
790
147.9 IPS |
|
|
Image Classification (F16)
|
100% |
1381
258.5 IPS |
|
|
Image Classification (I8)
|
99% |
1383
258.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
439
7.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
545
9.10 IPS |
|
|
Image Segmentation (I8)
|
100% |
549
9.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
3562
4.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
6402
7.75 IPS |
|
|
Pose Estimation (I8)
|
100% |
6410
7.76 IPS |
|
|
Object Detection (F32)
|
100% |
701
52.3 IPS |
|
|
Object Detection (F16)
|
100% |
1362
101.7 IPS |
|
|
Object Detection (I8)
|
97% |
707
52.8 IPS |
|
|
Face Detection (F32)
|
100% |
1629
19.4 IPS |
|
|
Face Detection (F16)
|
97% |
3158
37.5 IPS |
|
|
Face Detection (I8)
|
97% |
3168
37.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3187
24.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5977
46.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
5974
46.3 IPS |
|
|
Style Transfer (F32)
|
100% |
7706
10.1 IPS |
|
|
Style Transfer (F16)
|
100% |
13806
18.2 IPS |
|
|
Style Transfer (I8)
|
100% |
13870
18.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2154
76.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2815
100.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2821
100.7 IPS |
|
|
Text Classification (F32)
|
100% |
1199
1.72 KIPS |
|
|
Text Classification (F16)
|
100% |
2149
3.09 KIPS |
|
|
Text Classification (I8)
|
96% |
2057
2.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
639
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
962
17.7 IPS |
|
|
Machine Translation (I8)
|
99% |
650
12.0 IPS |
