iPhone 12 Pro Max
Geekbench ML Score
864
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for iOS AArch64
Result Information
| User | WilliamTM |
| Upload Date | May 11 2021 12:21 PM |
| Views | 4 |
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% |
649
69.5 IPS |
|
|
Image Classification (F16)
|
100% |
611
65.5 IPS |
|
|
Image Classification (I8)
|
81% |
447
47.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
966
5.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
952
5.88 IPS |
|
|
Image Segmentation (I8)
|
89% |
1394
8.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
369
1.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
364
1.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
445
1.80 IPS |
|
|
Object Detection (F32)
|
100% |
738
25.9 IPS |
|
|
Object Detection (F16)
|
100% |
738
25.9 IPS |
|
|
Object Detection (I8)
|
52% |
583
20.5 IPS |
|
|
Face Detection (F32)
|
100% |
1076
12.4 IPS |
|
|
Face Detection (F16)
|
100% |
1063
12.2 IPS |
|
|
Face Detection (I8)
|
75% |
813
9.34 IPS |
|
|
Text Classification (F32)
|
100% |
2355
931.2 IPS |
|
|
Text Classification (F16)
|
100% |
2335
923.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1691
260.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1682
259.2 IPS |
