iPhone 12 Pro Max
Geekbench ML Score
909
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 15 2021 01:41 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
643
68.8 IPS |
|
|
Image Classification (F16)
|
100% |
633
67.8 IPS |
|
|
Image Classification (I8)
|
81% |
446
47.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
994
6.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
977
6.04 IPS |
|
|
Image Segmentation (I8)
|
89% |
1408
8.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
382
1.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
372
1.51 IPS |
|
|
Pose Estimation (I8)
|
80% |
454
1.84 IPS |
|
|
Object Detection (F32)
|
100% |
920
32.3 IPS |
|
|
Object Detection (F16)
|
100% |
931
32.7 IPS |
|
|
Object Detection (I8)
|
52% |
753
26.4 IPS |
|
|
Face Detection (F32)
|
100% |
1121
12.9 IPS |
|
|
Face Detection (F16)
|
100% |
1099
12.6 IPS |
|
|
Face Detection (I8)
|
75% |
823
9.45 IPS |
|
|
Text Classification (F32)
|
100% |
2389
944.7 IPS |
|
|
Text Classification (F16)
|
100% |
2340
925.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1686
259.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1677
258.4 IPS |
