iPhone 12 Pro
Geekbench ML Score
641
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 22 2021 08:56 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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 | 5.60 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
410
43.9 IPS |
|
|
Image Classification (F16)
|
100% |
393
42.1 IPS |
|
|
Image Classification (I8)
|
81% |
827
88.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
500
3.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
505
3.12 IPS |
|
|
Image Segmentation (I8)
|
89% |
1296
8.00 IPS |
|
|
Pose Estimation (F32)
|
100% |
242
0.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
299
1.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
360
1.46 IPS |
|
|
Object Detection (F32)
|
100% |
579
20.3 IPS |
|
|
Object Detection (F16)
|
100% |
581
20.4 IPS |
|
|
Object Detection (I8)
|
52% |
940
33.0 IPS |
|
|
Face Detection (F32)
|
100% |
734
8.44 IPS |
|
|
Face Detection (F16)
|
100% |
735
8.45 IPS |
|
|
Face Detection (I8)
|
75% |
954
11.0 IPS |
|
|
Text Classification (F32)
|
100% |
1294
511.9 IPS |
|
|
Text Classification (F16)
|
100% |
1312
518.9 IPS |
|
|
Machine Translation (F32)
|
100% |
834
128.6 IPS |
|
|
Machine Translation (F16)
|
100% |
829
127.7 IPS |
