iPhone 12 Pro
Geekbench ML Score
1603
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 10:57 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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 | 5.60 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1449
155.3 IPS |
|
|
Image Classification (F16)
|
100% |
1463
156.7 IPS |
|
|
Image Classification (I8)
|
81% |
643
68.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
4102
25.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
6067
37.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
1141
7.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
1485
6.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
4998
20.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
210
0.85 IPS |
|
|
Object Detection (F32)
|
100% |
1632
57.3 IPS |
|
|
Object Detection (F16)
|
99% |
1691
59.3 IPS |
|
|
Object Detection (I8)
|
52% |
907
31.8 IPS |
|
|
Face Detection (F32)
|
100% |
4288
49.3 IPS |
|
|
Face Detection (F16)
|
97% |
5596
64.3 IPS |
|
|
Face Detection (I8)
|
75% |
824
9.46 IPS |
|
|
Text Classification (F32)
|
100% |
855
338.0 IPS |
|
|
Text Classification (F16)
|
98% |
1092
431.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1689
260.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1674
258.0 IPS |
