iPhone 12 Pro Max
Geekbench ML Score
2373
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 15 2021 03:45 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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4761
510.1 IPS |
|
|
Image Classification (F16)
|
100% |
4865
521.3 IPS |
|
|
Image Classification (I8)
|
81% |
647
69.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1813
11.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1809
11.2 IPS |
|
|
Image Segmentation (I8)
|
89% |
1182
7.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
16764
67.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
17728
71.7 IPS |
|
|
Pose Estimation (I8)
|
80% |
224
0.91 IPS |
|
|
Object Detection (F32)
|
100% |
6579
230.9 IPS |
|
|
Object Detection (F16)
|
100% |
6676
234.3 IPS |
|
|
Object Detection (I8)
|
52% |
917
32.2 IPS |
|
|
Face Detection (F32)
|
100% |
6151
70.7 IPS |
|
|
Face Detection (F16)
|
100% |
6138
70.5 IPS |
|
|
Face Detection (I8)
|
75% |
896
10.3 IPS |
|
|
Text Classification (F32)
|
100% |
950
375.6 IPS |
|
|
Text Classification (F16)
|
100% |
960
379.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1677
258.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1681
259.0 IPS |
