iPhone 13 Pro
Geekbench ML Score
2078
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 24 2022 06:48 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2801
300.1 IPS |
|
|
Image Classification (F16)
|
100% |
4265
456.9 IPS |
|
|
Image Classification (I8)
|
81% |
632
67.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
5759
35.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
8169
50.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
783
4.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
1913
7.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
4856
19.6 IPS |
|
|
Pose Estimation (I8)
|
80% |
151
0.61 IPS |
|
|
Object Detection (F32)
|
100% |
3246
113.9 IPS |
|
|
Object Detection (F16)
|
100% |
3642
127.8 IPS |
|
|
Object Detection (I8)
|
52% |
937
32.9 IPS |
|
|
Face Detection (F32)
|
100% |
5162
59.3 IPS |
|
|
Face Detection (F16)
|
97% |
8297
95.3 IPS |
|
|
Face Detection (I8)
|
75% |
606
6.96 IPS |
|
|
Text Classification (F32)
|
100% |
1491
589.6 IPS |
|
|
Text Classification (F16)
|
100% |
1515
599.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2086
321.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2062
317.7 IPS |
