iPhone 12 Pro
Geekbench ML Score
855
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 23 2022 08:17 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
624
66.8 IPS |
|
|
Image Classification (F16)
|
100% |
614
65.8 IPS |
|
|
Image Classification (I8)
|
81% |
400
42.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
991
6.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
953
5.89 IPS |
|
|
Image Segmentation (I8)
|
89% |
1369
8.46 IPS |
|
|
Pose Estimation (F32)
|
100% |
363
1.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
356
1.44 IPS |
|
|
Pose Estimation (I8)
|
80% |
433
1.75 IPS |
|
|
Object Detection (F32)
|
100% |
896
31.5 IPS |
|
|
Object Detection (F16)
|
100% |
915
32.1 IPS |
|
|
Object Detection (I8)
|
52% |
690
24.2 IPS |
|
|
Face Detection (F32)
|
100% |
1063
12.2 IPS |
|
|
Face Detection (F16)
|
100% |
1044
12.0 IPS |
|
|
Face Detection (I8)
|
75% |
815
9.36 IPS |
|
|
Text Classification (F32)
|
100% |
1624
642.3 IPS |
|
|
Text Classification (F16)
|
100% |
1975
781.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1690
260.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1685
259.7 IPS |
