iPhone 12 Pro Max
Geekbench ML Score
683
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | davidblue |
| Upload Date | September 01 2022 04:43 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
633
67.8 IPS |
|
|
Image Classification (F16)
|
100% |
603
64.6 IPS |
|
|
Image Classification (I8)
|
81% |
204
21.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1001
6.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
952
5.88 IPS |
|
|
Image Segmentation (I8)
|
89% |
1257
7.76 IPS |
|
|
Pose Estimation (F32)
|
100% |
297
1.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
293
1.19 IPS |
|
|
Pose Estimation (I8)
|
80% |
397
1.61 IPS |
|
|
Object Detection (F32)
|
100% |
883
31.0 IPS |
|
|
Object Detection (F16)
|
100% |
874
30.7 IPS |
|
|
Object Detection (I8)
|
52% |
426
15.0 IPS |
|
|
Face Detection (F32)
|
100% |
1078
12.4 IPS |
|
|
Face Detection (F16)
|
100% |
1037
11.9 IPS |
|
|
Face Detection (I8)
|
75% |
672
7.73 IPS |
|
|
Text Classification (F32)
|
100% |
569
225.1 IPS |
|
|
Text Classification (F16)
|
100% |
545
215.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1705
262.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1712
263.8 IPS |
