iPhone 12
Geekbench ML Score
864
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 11:36 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.2 |
| 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 | 3.58 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
636
68.2 IPS |
|
|
Image Classification (F16)
|
100% |
621
66.5 IPS |
|
|
Image Classification (I8)
|
81% |
412
44.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1005
6.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
966
5.97 IPS |
|
|
Image Segmentation (I8)
|
89% |
1365
8.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
359
1.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
354
1.43 IPS |
|
|
Pose Estimation (I8)
|
80% |
435
1.76 IPS |
|
|
Object Detection (F32)
|
100% |
889
31.2 IPS |
|
|
Object Detection (F16)
|
100% |
896
31.4 IPS |
|
|
Object Detection (I8)
|
52% |
721
25.3 IPS |
|
|
Face Detection (F32)
|
100% |
1057
12.1 IPS |
|
|
Face Detection (F16)
|
100% |
1039
11.9 IPS |
|
|
Face Detection (I8)
|
75% |
810
9.31 IPS |
|
|
Text Classification (F32)
|
100% |
1842
728.5 IPS |
|
|
Text Classification (F16)
|
100% |
2038
805.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1662
256.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1655
255.0 IPS |
