iPhone 11 Pro
Geekbench ML Score
727
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 10 2023 03:51 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.2 |
| 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 |
| 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 | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
557
59.6 IPS |
|
|
Image Classification (F16)
|
100% |
547
58.6 IPS |
|
|
Image Classification (I8)
|
81% |
306
32.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
891
5.50 IPS |
|
|
Image Segmentation (F16)
|
100% |
886
5.48 IPS |
|
|
Image Segmentation (I8)
|
89% |
1139
7.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
285
1.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
284
1.15 IPS |
|
|
Pose Estimation (I8)
|
80% |
343
1.39 IPS |
|
|
Object Detection (F32)
|
100% |
807
28.3 IPS |
|
|
Object Detection (F16)
|
100% |
809
28.4 IPS |
|
|
Object Detection (I8)
|
52% |
600
21.1 IPS |
|
|
Face Detection (F32)
|
100% |
1014
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
1011
11.6 IPS |
|
|
Face Detection (I8)
|
75% |
728
8.36 IPS |
|
|
Text Classification (F32)
|
100% |
1628
643.7 IPS |
|
|
Text Classification (F16)
|
100% |
1499
592.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1190
183.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1195
184.1 IPS |
