iPhone 11 Pro
Geekbench ML Score
697
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 28 2023 08:31 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.2 |
| 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% |
565
60.5 IPS |
|
|
Image Classification (F16)
|
100% |
554
59.4 IPS |
|
|
Image Classification (I8)
|
81% |
274
29.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
870
5.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
858
5.30 IPS |
|
|
Image Segmentation (I8)
|
89% |
1106
6.83 IPS |
|
|
Pose Estimation (F32)
|
100% |
269
1.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
270
1.09 IPS |
|
|
Pose Estimation (I8)
|
80% |
330
1.33 IPS |
|
|
Object Detection (F32)
|
100% |
807
28.3 IPS |
|
|
Object Detection (F16)
|
100% |
804
28.2 IPS |
|
|
Object Detection (I8)
|
52% |
527
18.5 IPS |
|
|
Face Detection (F32)
|
100% |
989
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
981
11.3 IPS |
|
|
Face Detection (I8)
|
75% |
701
8.06 IPS |
|
|
Text Classification (F32)
|
100% |
1433
566.6 IPS |
|
|
Text Classification (F16)
|
100% |
1295
512.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1203
185.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1218
187.7 IPS |
