iPhone 13
Geekbench ML Score
956
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 06 2021 05:06 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.1 |
| 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 | 3.60 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
774
82.9 IPS |
|
|
Image Classification (F16)
|
100% |
738
79.1 IPS |
|
|
Image Classification (I8)
|
81% |
471
50.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1100
6.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
1037
6.41 IPS |
|
|
Image Segmentation (I8)
|
89% |
1464
9.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
409
1.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
396
1.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
474
1.92 IPS |
|
|
Object Detection (F32)
|
100% |
1019
35.8 IPS |
|
|
Object Detection (F16)
|
100% |
1030
36.2 IPS |
|
|
Object Detection (I8)
|
52% |
780
27.4 IPS |
|
|
Face Detection (F32)
|
100% |
1282
14.7 IPS |
|
|
Face Detection (F16)
|
100% |
1231
14.1 IPS |
|
|
Face Detection (I8)
|
75% |
849
9.76 IPS |
|
|
Text Classification (F32)
|
100% |
1698
671.5 IPS |
|
|
Text Classification (F16)
|
100% |
1751
692.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1964
302.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1952
300.9 IPS |
