iPhone 13 Pro
Geekbench ML Score
2706
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 17 2022 01:14 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5331
571.2 IPS |
|
|
Image Classification (F16)
|
100% |
5288
566.6 IPS |
|
|
Image Classification (I8)
|
81% |
694
74.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2080
12.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2179
13.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
1256
7.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
23388
94.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
23381
94.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
241
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
6913
242.6 IPS |
|
|
Object Detection (F16)
|
100% |
7064
247.9 IPS |
|
|
Object Detection (I8)
|
52% |
990
34.8 IPS |
|
|
Face Detection (F32)
|
100% |
7894
90.7 IPS |
|
|
Face Detection (F16)
|
100% |
7892
90.7 IPS |
|
|
Face Detection (I8)
|
75% |
954
11.0 IPS |
|
|
Text Classification (F32)
|
100% |
1019
403.2 IPS |
|
|
Text Classification (F16)
|
100% |
1013
400.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1942
299.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1950
300.5 IPS |
