iPhone 13 Pro
Geekbench ML Score
2303
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 08:48 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2847
305.1 IPS |
|
|
Image Classification (F16)
|
100% |
4423
474.0 IPS |
|
|
Image Classification (I8)
|
81% |
696
74.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
5894
36.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
8430
52.1 IPS |
|
|
Image Segmentation (I8)
|
89% |
1251
7.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
1906
7.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
4889
19.8 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
3232
113.4 IPS |
|
|
Object Detection (F16)
|
100% |
3364
118.1 IPS |
|
|
Object Detection (I8)
|
52% |
994
34.9 IPS |
|
|
Face Detection (F32)
|
100% |
5181
59.5 IPS |
|
|
Face Detection (F16)
|
97% |
9329
107.2 IPS |
|
|
Face Detection (I8)
|
75% |
965
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
1905
753.4 IPS |
|
|
Text Classification (F16)
|
100% |
1566
619.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2055
316.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2048
315.6 IPS |
