iPhone 12 Pro Max
Geekbench ML Score
850
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | davidblue |
| Upload Date | September 07 2022 09:45 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
645
69.1 IPS |
|
|
Image Classification (F16)
|
100% |
587
62.9 IPS |
|
|
Image Classification (I8)
|
81% |
411
44.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
977
6.03 IPS |
|
|
Image Segmentation (F16)
|
100% |
947
5.85 IPS |
|
|
Image Segmentation (I8)
|
89% |
1364
8.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
362
1.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
347
1.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
439
1.78 IPS |
|
|
Object Detection (F32)
|
100% |
900
31.6 IPS |
|
|
Object Detection (F16)
|
100% |
899
31.5 IPS |
|
|
Object Detection (I8)
|
52% |
701
24.6 IPS |
|
|
Face Detection (F32)
|
100% |
1075
12.3 IPS |
|
|
Face Detection (F16)
|
100% |
1053
12.1 IPS |
|
|
Face Detection (I8)
|
75% |
816
9.37 IPS |
|
|
Text Classification (F32)
|
100% |
1594
630.4 IPS |
|
|
Text Classification (F16)
|
100% |
1896
749.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1642
253.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1634
251.9 IPS |
