iPhone 11 Pro
Geekbench ML Score
720
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 12 2024 09:59 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.7.1 |
| 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 |
| 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% |
554
59.4 IPS |
|
|
Image Classification (F16)
|
100% |
544
58.2 IPS |
|
|
Image Classification (I8)
|
81% |
301
32.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
885
5.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
872
5.38 IPS |
|
|
Image Segmentation (I8)
|
89% |
1115
6.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
272
1.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
271
1.10 IPS |
|
|
Pose Estimation (I8)
|
80% |
337
1.36 IPS |
|
|
Object Detection (F32)
|
100% |
794
27.9 IPS |
|
|
Object Detection (F16)
|
100% |
800
28.1 IPS |
|
|
Object Detection (I8)
|
52% |
607
21.3 IPS |
|
|
Face Detection (F32)
|
100% |
988
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
983
11.3 IPS |
|
|
Face Detection (I8)
|
75% |
718
8.25 IPS |
|
|
Text Classification (F32)
|
100% |
1709
676.0 IPS |
|
|
Text Classification (F16)
|
100% |
1646
651.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1141
175.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1181
182.0 IPS |
