iPhone 13
Geekbench ML Score
911
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | July 16 2022 10:04 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| 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 | 3.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
788
84.4 IPS |
|
|
Image Classification (F16)
|
100% |
749
80.3 IPS |
|
|
Image Classification (I8)
|
81% |
465
49.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1099
6.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
1061
6.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
1444
8.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
410
1.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
405
1.64 IPS |
|
|
Pose Estimation (I8)
|
80% |
479
1.94 IPS |
|
|
Object Detection (F32)
|
100% |
1031
36.2 IPS |
|
|
Object Detection (F16)
|
100% |
1040
36.5 IPS |
|
|
Object Detection (I8)
|
52% |
779
27.3 IPS |
|
|
Face Detection (F32)
|
100% |
1300
14.9 IPS |
|
|
Face Detection (F16)
|
100% |
1253
14.4 IPS |
|
|
Face Detection (I8)
|
75% |
849
9.75 IPS |
|
|
Text Classification (F32)
|
100% |
1030
407.5 IPS |
|
|
Text Classification (F16)
|
100% |
1008
398.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1970
303.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1976
304.6 IPS |
