iPhone 12 Pro Max
Geekbench ML Score
897
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 12 2021 09:52 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.5.1 |
| 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% |
626
67.0 IPS |
|
|
Image Classification (F16)
|
100% |
614
65.8 IPS |
|
|
Image Classification (I8)
|
81% |
455
48.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
961
5.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
935
5.77 IPS |
|
|
Image Segmentation (I8)
|
89% |
1421
8.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
366
1.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
358
1.45 IPS |
|
|
Pose Estimation (I8)
|
80% |
438
1.77 IPS |
|
|
Object Detection (F32)
|
100% |
924
32.4 IPS |
|
|
Object Detection (F16)
|
100% |
927
32.5 IPS |
|
|
Object Detection (I8)
|
52% |
769
27.0 IPS |
|
|
Face Detection (F32)
|
100% |
1084
12.4 IPS |
|
|
Face Detection (F16)
|
100% |
1060
12.2 IPS |
|
|
Face Detection (I8)
|
75% |
817
9.39 IPS |
|
|
Text Classification (F32)
|
100% |
2422
957.9 IPS |
|
|
Text Classification (F16)
|
100% |
2353
930.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1686
259.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1681
259.1 IPS |
