iPhone 12 Pro Max
Geekbench ML Score
2442
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 19 2022 10:25 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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% |
5225
559.8 IPS |
|
|
Image Classification (F16)
|
100% |
5240
561.5 IPS |
|
|
Image Classification (I8)
|
81% |
641
68.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1889
11.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1912
11.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1127
6.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
15787
63.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
19077
77.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
215
0.87 IPS |
|
|
Object Detection (F32)
|
100% |
6661
233.8 IPS |
|
|
Object Detection (F16)
|
100% |
6680
234.4 IPS |
|
|
Object Detection (I8)
|
52% |
867
30.4 IPS |
|
|
Face Detection (F32)
|
100% |
6930
79.6 IPS |
|
|
Face Detection (F16)
|
100% |
6926
79.6 IPS |
|
|
Face Detection (I8)
|
75% |
878
10.1 IPS |
|
|
Text Classification (F32)
|
100% |
1046
413.7 IPS |
|
|
Text Classification (F16)
|
100% |
1071
423.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1668
257.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1667
256.9 IPS |
