iPhone 12
Geekbench ML Score
1571
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 15 2021 02:40 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| 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 | 3.59 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1521
163.0 IPS |
|
|
Image Classification (F16)
|
100% |
1519
162.8 IPS |
|
|
Image Classification (I8)
|
81% |
645
69.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
3439
21.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
4646
28.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
1138
7.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
1490
6.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
4983
20.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
216
0.87 IPS |
|
|
Object Detection (F32)
|
100% |
1587
55.7 IPS |
|
|
Object Detection (F16)
|
99% |
1689
59.3 IPS |
|
|
Object Detection (I8)
|
52% |
885
31.1 IPS |
|
|
Face Detection (F32)
|
100% |
4298
49.4 IPS |
|
|
Face Detection (F16)
|
97% |
5303
60.9 IPS |
|
|
Face Detection (I8)
|
75% |
863
9.92 IPS |
|
|
Text Classification (F32)
|
100% |
852
337.2 IPS |
|
|
Text Classification (F16)
|
98% |
1094
432.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1688
260.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1682
259.2 IPS |
