iPhone 12 Pro Max
Geekbench ML Score
903
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 02:53 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPhone 12 Pro Max |
| Model ID | iPhone13,4 |
| Motherboard | D54pAP |
| 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 | 5.58 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
631
67.6 IPS |
|
|
Image Classification (F16)
|
100% |
621
66.6 IPS |
|
|
Image Classification (I8)
|
81% |
435
46.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
978
6.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
956
5.91 IPS |
|
|
Image Segmentation (I8)
|
89% |
1414
8.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
371
1.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
364
1.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
449
1.82 IPS |
|
|
Object Detection (F32)
|
100% |
947
33.2 IPS |
|
|
Object Detection (F16)
|
100% |
943
33.1 IPS |
|
|
Object Detection (I8)
|
52% |
748
26.3 IPS |
|
|
Face Detection (F32)
|
100% |
1106
12.7 IPS |
|
|
Face Detection (F16)
|
100% |
1091
12.5 IPS |
|
|
Face Detection (I8)
|
75% |
818
9.39 IPS |
|
|
Text Classification (F32)
|
100% |
2432
961.9 IPS |
|
|
Text Classification (F16)
|
100% |
2343
926.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1683
259.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1677
258.5 IPS |
