iPhone 12 Pro Max
Geekbench ML Score
885
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 15 2021 10:12 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| 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% |
640
68.6 IPS |
|
|
Image Classification (F16)
|
100% |
613
65.6 IPS |
|
|
Image Classification (I8)
|
81% |
443
47.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
959
5.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
940
5.81 IPS |
|
|
Image Segmentation (I8)
|
89% |
1401
8.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
361
1.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
355
1.44 IPS |
|
|
Pose Estimation (I8)
|
80% |
435
1.76 IPS |
|
|
Object Detection (F32)
|
100% |
870
30.5 IPS |
|
|
Object Detection (F16)
|
100% |
876
30.7 IPS |
|
|
Object Detection (I8)
|
52% |
745
26.2 IPS |
|
|
Face Detection (F32)
|
100% |
1075
12.3 IPS |
|
|
Face Detection (F16)
|
100% |
1048
12.0 IPS |
|
|
Face Detection (I8)
|
75% |
815
9.37 IPS |
|
|
Text Classification (F32)
|
100% |
2348
928.7 IPS |
|
|
Text Classification (F16)
|
100% |
2343
926.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1684
259.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1693
260.9 IPS |
