iPhone 12 Pro Max
Geekbench ML Score
768
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 17 2022 05:34 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| 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% |
563
60.3 IPS |
|
|
Image Classification (F16)
|
100% |
540
57.8 IPS |
|
|
Image Classification (I8)
|
81% |
325
34.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
933
5.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
846
5.22 IPS |
|
|
Image Segmentation (I8)
|
89% |
1264
7.81 IPS |
|
|
Pose Estimation (F32)
|
100% |
305
1.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
307
1.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
400
1.62 IPS |
|
|
Object Detection (F32)
|
100% |
762
26.7 IPS |
|
|
Object Detection (F16)
|
100% |
772
27.1 IPS |
|
|
Object Detection (I8)
|
52% |
598
21.0 IPS |
|
|
Face Detection (F32)
|
100% |
965
11.1 IPS |
|
|
Face Detection (F16)
|
100% |
940
10.8 IPS |
|
|
Face Detection (I8)
|
75% |
770
8.85 IPS |
|
|
Text Classification (F32)
|
100% |
1749
692.0 IPS |
|
|
Text Classification (F16)
|
100% |
1631
645.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1606
247.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1605
247.3 IPS |
