iPhone 12 Pro Max
Geekbench ML Score
817
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 12 2023 05:34 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
668
71.6 IPS |
|
|
Image Classification (F16)
|
100% |
632
67.7 IPS |
|
|
Image Classification (I8)
|
81% |
206
22.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
967
5.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
953
5.89 IPS |
|
|
Image Segmentation (I8)
|
89% |
1268
7.83 IPS |
|
|
Pose Estimation (F32)
|
100% |
297
1.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
313
1.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
405
1.64 IPS |
|
|
Object Detection (F32)
|
100% |
916
32.2 IPS |
|
|
Object Detection (F16)
|
100% |
923
32.4 IPS |
|
|
Object Detection (I8)
|
52% |
606
21.3 IPS |
|
|
Face Detection (F32)
|
100% |
1121
12.9 IPS |
|
|
Face Detection (F16)
|
100% |
1101
12.6 IPS |
|
|
Face Detection (I8)
|
75% |
794
9.12 IPS |
|
|
Text Classification (F32)
|
100% |
2014
796.7 IPS |
|
|
Text Classification (F16)
|
100% |
1903
752.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1723
265.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1706
262.9 IPS |
