iPhone 12 Pro
Geekbench ML Score
1602
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 23 2022 05:59 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 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 | 5.57 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1431
153.3 IPS |
|
|
Image Classification (F16)
|
100% |
1567
167.9 IPS |
|
|
Image Classification (I8)
|
81% |
638
68.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
4166
25.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
5797
35.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1101
6.80 IPS |
|
|
Pose Estimation (F32)
|
100% |
1470
5.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
4954
20.0 IPS |
|
|
Pose Estimation (I8)
|
80% |
211
0.86 IPS |
|
|
Object Detection (F32)
|
100% |
1677
58.9 IPS |
|
|
Object Detection (F16)
|
99% |
1685
59.1 IPS |
|
|
Object Detection (I8)
|
52% |
902
31.7 IPS |
|
|
Face Detection (F32)
|
100% |
4245
48.8 IPS |
|
|
Face Detection (F16)
|
97% |
5502
63.2 IPS |
|
|
Face Detection (I8)
|
75% |
851
9.78 IPS |
|
|
Text Classification (F32)
|
100% |
849
335.7 IPS |
|
|
Text Classification (F16)
|
98% |
1075
425.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1694
261.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1705
262.8 IPS |
