iPhone 11
Geekbench ML Score
1240
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 30 2025 09:43 PM |
| Views | 3 |
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% |
533
99.7 IPS |
|
|
Image Classification (F16)
|
100% |
641
120.0 IPS |
|
|
Image Classification (I8)
|
99% |
642
120.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
422
7.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
418
6.98 IPS |
|
|
Image Segmentation (I8)
|
100% |
422
7.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
3040
3.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
5519
6.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
5443
6.59 IPS |
|
|
Object Detection (F32)
|
100% |
573
42.8 IPS |
|
|
Object Detection (F16)
|
100% |
737
55.0 IPS |
|
|
Object Detection (I8)
|
97% |
571
42.7 IPS |
|
|
Face Detection (F32)
|
100% |
1112
13.2 IPS |
|
|
Face Detection (F16)
|
100% |
1124
13.4 IPS |
|
|
Face Detection (I8)
|
99% |
1127
13.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1910
14.8 IPS |
|
|
Depth Estimation (F16)
|
99% |
2506
19.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2518
19.5 IPS |
|
|
Style Transfer (F32)
|
100% |
5362
7.05 IPS |
|
|
Style Transfer (F16)
|
100% |
7675
10.1 IPS |
|
|
Style Transfer (I8)
|
100% |
7712
10.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1651
58.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1736
62.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1736
62.0 IPS |
|
|
Text Classification (F32)
|
100% |
658
945.6 IPS |
|
|
Text Classification (F16)
|
100% |
399
573.5 IPS |
|
|
Text Classification (I8)
|
96% |
403
578.7 IPS |
|
|
Machine Translation (F32)
|
100% |
741
13.6 IPS |
|
|
Machine Translation (F16)
|
99% |
1198
22.0 IPS |
|
|
Machine Translation (I8)
|
99% |
713
13.1 IPS |
