iPhone 12 Pro
Geekbench ML Score
1618
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 14 2022 11:33 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.2 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1580
169.3 IPS |
|
|
Image Classification (F16)
|
100% |
1612
172.7 IPS |
|
|
Image Classification (I8)
|
81% |
642
68.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
4143
25.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
6049
37.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
1157
7.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
1492
6.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
4976
20.1 IPS |
|
|
Pose Estimation (I8)
|
80% |
211
0.85 IPS |
|
|
Object Detection (F32)
|
100% |
1616
56.7 IPS |
|
|
Object Detection (F16)
|
99% |
1687
59.2 IPS |
|
|
Object Detection (I8)
|
52% |
914
32.1 IPS |
|
|
Face Detection (F32)
|
100% |
4287
49.3 IPS |
|
|
Face Detection (F16)
|
97% |
5376
61.8 IPS |
|
|
Face Detection (I8)
|
75% |
846
9.72 IPS |
|
|
Text Classification (F32)
|
100% |
851
336.4 IPS |
|
|
Text Classification (F16)
|
98% |
1090
431.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1675
258.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1671
257.5 IPS |
