iPhone 12
Geekbench ML Score
880
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 03 2021 10:28 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| 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% |
623
66.8 IPS |
|
|
Image Classification (F16)
|
100% |
624
66.9 IPS |
|
|
Image Classification (I8)
|
81% |
414
44.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
995
6.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
980
6.05 IPS |
|
|
Image Segmentation (I8)
|
89% |
1356
8.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
352
1.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
350
1.42 IPS |
|
|
Pose Estimation (I8)
|
80% |
432
1.75 IPS |
|
|
Object Detection (F32)
|
100% |
879
30.9 IPS |
|
|
Object Detection (F16)
|
100% |
879
30.9 IPS |
|
|
Object Detection (I8)
|
52% |
720
25.3 IPS |
|
|
Face Detection (F32)
|
100% |
1071
12.3 IPS |
|
|
Face Detection (F16)
|
100% |
1047
12.0 IPS |
|
|
Face Detection (I8)
|
75% |
814
9.36 IPS |
|
|
Text Classification (F32)
|
100% |
2343
926.5 IPS |
|
|
Text Classification (F16)
|
100% |
2344
927.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1682
259.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1666
256.7 IPS |
