iPhone 12 Pro Max
Geekbench ML Score
861
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 15 2021 03:10 PM |
| 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% |
639
68.4 IPS |
|
|
Image Classification (F16)
|
100% |
610
65.4 IPS |
|
|
Image Classification (I8)
|
81% |
438
47.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
925
5.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
889
5.49 IPS |
|
|
Image Segmentation (I8)
|
89% |
1365
8.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
341
1.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
334
1.35 IPS |
|
|
Pose Estimation (I8)
|
80% |
414
1.68 IPS |
|
|
Object Detection (F32)
|
100% |
819
28.8 IPS |
|
|
Object Detection (F16)
|
100% |
848
29.7 IPS |
|
|
Object Detection (I8)
|
52% |
742
26.0 IPS |
|
|
Face Detection (F32)
|
100% |
1029
11.8 IPS |
|
|
Face Detection (F16)
|
100% |
1000
11.5 IPS |
|
|
Face Detection (I8)
|
75% |
808
9.28 IPS |
|
|
Text Classification (F32)
|
100% |
2333
922.8 IPS |
|
|
Text Classification (F16)
|
100% |
2283
902.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1700
261.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1680
259.0 IPS |
