iPhone 12 Pro Max
Geekbench ML Score
2491
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 29 2021 01:27 AM |
| Views | 2 |
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 | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5545
594.1 IPS |
|
|
Image Classification (F16)
|
100% |
5568
596.6 IPS |
|
|
Image Classification (I8)
|
81% |
646
69.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1852
11.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1855
11.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
1114
6.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
19138
77.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
17526
70.9 IPS |
|
|
Pose Estimation (I8)
|
80% |
213
0.86 IPS |
|
|
Object Detection (F32)
|
100% |
6942
243.6 IPS |
|
|
Object Detection (F16)
|
100% |
6956
244.1 IPS |
|
|
Object Detection (I8)
|
52% |
886
31.1 IPS |
|
|
Face Detection (F32)
|
100% |
7229
83.1 IPS |
|
|
Face Detection (F16)
|
100% |
7233
83.1 IPS |
|
|
Face Detection (I8)
|
75% |
843
9.68 IPS |
|
|
Text Classification (F32)
|
100% |
1069
423.0 IPS |
|
|
Text Classification (F16)
|
100% |
1068
422.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1709
263.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1704
262.6 IPS |
