iPhone 12 Pro Max
Geekbench ML Score
689
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 29 2021 01:25 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| 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 | 5.57 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
659
70.6 IPS |
|
|
Image Classification (F16)
|
100% |
624
66.8 IPS |
|
|
Image Classification (I8)
|
81% |
190
20.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
973
6.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
943
5.82 IPS |
|
|
Image Segmentation (I8)
|
89% |
1294
7.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
313
1.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
311
1.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
397
1.61 IPS |
|
|
Object Detection (F32)
|
100% |
910
31.9 IPS |
|
|
Object Detection (F16)
|
100% |
914
32.1 IPS |
|
|
Object Detection (I8)
|
52% |
413
14.5 IPS |
|
|
Face Detection (F32)
|
100% |
1091
12.5 IPS |
|
|
Face Detection (F16)
|
100% |
1061
12.2 IPS |
|
|
Face Detection (I8)
|
75% |
669
7.68 IPS |
|
|
Text Classification (F32)
|
100% |
561
221.8 IPS |
|
|
Text Classification (F16)
|
100% |
552
218.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1709
263.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1707
263.1 IPS |
