iPhone 11
Geekbench ML Score
1224
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 30 2025 09:50 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.4.1 |
| 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% |
536
100.3 IPS |
|
|
Image Classification (F16)
|
100% |
640
119.8 IPS |
|
|
Image Classification (I8)
|
99% |
640
119.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
417
6.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
408
6.81 IPS |
|
|
Image Segmentation (I8)
|
100% |
405
6.77 IPS |
|
|
Pose Estimation (F32)
|
100% |
2916
3.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
5509
6.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
5459
6.61 IPS |
|
|
Object Detection (F32)
|
100% |
570
42.6 IPS |
|
|
Object Detection (F16)
|
100% |
736
55.0 IPS |
|
|
Object Detection (I8)
|
97% |
567
42.4 IPS |
|
|
Face Detection (F32)
|
100% |
1068
12.7 IPS |
|
|
Face Detection (F16)
|
100% |
1122
13.3 IPS |
|
|
Face Detection (I8)
|
99% |
1112
13.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1961
15.2 IPS |
|
|
Depth Estimation (F16)
|
99% |
2504
19.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2507
19.4 IPS |
|
|
Style Transfer (F32)
|
100% |
5394
7.10 IPS |
|
|
Style Transfer (F16)
|
100% |
7678
10.1 IPS |
|
|
Style Transfer (I8)
|
100% |
7650
10.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1665
59.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1740
62.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1738
62.1 IPS |
|
|
Text Classification (F32)
|
100% |
667
958.1 IPS |
|
|
Text Classification (F16)
|
100% |
402
577.8 IPS |
|
|
Text Classification (I8)
|
96% |
401
576.0 IPS |
|
|
Machine Translation (F32)
|
100% |
719
13.2 IPS |
|
|
Machine Translation (F16)
|
99% |
1138
20.9 IPS |
|
|
Machine Translation (I8)
|
99% |
605
11.1 IPS |
