iPhone 13 Pro
Geekbench ML Score
869
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 14 2023 01:42 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
588
63.0 IPS |
|
|
Image Classification (F16)
|
100% |
615
65.8 IPS |
|
|
Image Classification (I8)
|
81% |
438
47.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1046
6.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
1000
6.18 IPS |
|
|
Image Segmentation (I8)
|
89% |
1441
8.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
393
1.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
384
1.56 IPS |
|
|
Pose Estimation (I8)
|
80% |
455
1.84 IPS |
|
|
Object Detection (F32)
|
100% |
1010
35.5 IPS |
|
|
Object Detection (F16)
|
100% |
1017
35.7 IPS |
|
|
Object Detection (I8)
|
52% |
769
27.0 IPS |
|
|
Face Detection (F32)
|
100% |
1249
14.4 IPS |
|
|
Face Detection (F16)
|
100% |
1179
13.5 IPS |
|
|
Face Detection (I8)
|
75% |
921
10.6 IPS |
|
|
Text Classification (F32)
|
100% |
1025
405.5 IPS |
|
|
Text Classification (F16)
|
100% |
924
365.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2038
314.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2067
318.6 IPS |
