iPhone 12
Geekbench ML Score
636
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 17 2021 12:15 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7.1 |
| 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 | 3.62 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
389
41.7 IPS |
|
|
Image Classification (F16)
|
100% |
386
41.3 IPS |
|
|
Image Classification (I8)
|
81% |
805
86.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
496
3.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
502
3.10 IPS |
|
|
Image Segmentation (I8)
|
89% |
1277
7.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
241
0.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
300
1.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
362
1.47 IPS |
|
|
Object Detection (F32)
|
100% |
629
22.1 IPS |
|
|
Object Detection (F16)
|
100% |
625
21.9 IPS |
|
|
Object Detection (I8)
|
52% |
943
33.1 IPS |
|
|
Face Detection (F32)
|
100% |
734
8.43 IPS |
|
|
Face Detection (F16)
|
100% |
744
8.55 IPS |
|
|
Face Detection (I8)
|
75% |
971
11.2 IPS |
|
|
Text Classification (F32)
|
100% |
1238
489.7 IPS |
|
|
Text Classification (F16)
|
100% |
1209
478.3 IPS |
|
|
Machine Translation (F32)
|
100% |
794
122.3 IPS |
|
|
Machine Translation (F16)
|
100% |
800
123.2 IPS |
