iPhone 12 Pro
Geekbench ML Score
1477
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for iOS AArch64
Result Information
| Upload Date | May 11 2021 12:20 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.3 |
| 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% |
1648
176.5 IPS |
|
|
Image Classification (F16)
|
100% |
1684
180.4 IPS |
|
|
Image Classification (I8)
|
81% |
608
65.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
3966
24.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
5968
36.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
1058
6.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
1416
5.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
4680
18.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
198
0.80 IPS |
|
|
Object Detection (F32)
|
100% |
867
30.4 IPS |
|
|
Object Detection (F16)
|
99% |
1131
39.7 IPS |
|
|
Object Detection (I8)
|
52% |
665
23.3 IPS |
|
|
Face Detection (F32)
|
100% |
3939
45.3 IPS |
|
|
Face Detection (F16)
|
97% |
5481
63.0 IPS |
|
|
Face Detection (I8)
|
75% |
782
8.99 IPS |
|
|
Text Classification (F32)
|
100% |
869
343.7 IPS |
|
|
Text Classification (F16)
|
98% |
1116
441.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1686
259.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1674
257.9 IPS |
