iPhone 12 Pro Max
Geekbench ML Score
633
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 28 2021 07:45 PM |
| 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% |
373
40.0 IPS |
|
|
Image Classification (F16)
|
100% |
389
41.6 IPS |
|
|
Image Classification (I8)
|
81% |
718
76.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
500
3.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
500
3.09 IPS |
|
|
Image Segmentation (I8)
|
89% |
1253
7.74 IPS |
|
|
Pose Estimation (F32)
|
100% |
242
0.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
300
1.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
357
1.44 IPS |
|
|
Object Detection (F32)
|
100% |
607
21.3 IPS |
|
|
Object Detection (F16)
|
100% |
613
21.5 IPS |
|
|
Object Detection (I8)
|
52% |
902
31.7 IPS |
|
|
Face Detection (F32)
|
100% |
743
8.54 IPS |
|
|
Face Detection (F16)
|
100% |
741
8.52 IPS |
|
|
Face Detection (I8)
|
75% |
927
10.7 IPS |
|
|
Text Classification (F32)
|
100% |
1307
517.0 IPS |
|
|
Text Classification (F16)
|
100% |
1288
509.5 IPS |
|
|
Machine Translation (F32)
|
100% |
835
128.7 IPS |
|
|
Machine Translation (F16)
|
100% |
838
129.1 IPS |
