iPhone 13
Geekbench ML Score
911
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 31 2023 02:30 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5 |
| 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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
774
82.9 IPS |
|
|
Image Classification (F16)
|
100% |
740
79.3 IPS |
|
|
Image Classification (I8)
|
81% |
466
49.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1077
6.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
1045
6.46 IPS |
|
|
Image Segmentation (I8)
|
89% |
1424
8.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
406
1.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
398
1.61 IPS |
|
|
Pose Estimation (I8)
|
80% |
469
1.90 IPS |
|
|
Object Detection (F32)
|
100% |
1026
36.0 IPS |
|
|
Object Detection (F16)
|
100% |
1020
35.8 IPS |
|
|
Object Detection (I8)
|
52% |
774
27.2 IPS |
|
|
Face Detection (F32)
|
100% |
1288
14.8 IPS |
|
|
Face Detection (F16)
|
100% |
1257
14.4 IPS |
|
|
Face Detection (I8)
|
75% |
842
9.68 IPS |
|
|
Text Classification (F32)
|
100% |
1027
406.3 IPS |
|
|
Text Classification (F16)
|
100% |
1104
436.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2063
318.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2060
317.5 IPS |
