iPhone 12 Pro Max
Geekbench ML Score
911
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 03 2021 10:20 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.4.2 |
| 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 | 5.58 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
622
66.7 IPS |
|
|
Image Classification (F16)
|
100% |
624
66.9 IPS |
|
|
Image Classification (I8)
|
81% |
436
46.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1016
6.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
996
6.15 IPS |
|
|
Image Segmentation (I8)
|
89% |
1386
8.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
387
1.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
382
1.54 IPS |
|
|
Pose Estimation (I8)
|
80% |
459
1.86 IPS |
|
|
Object Detection (F32)
|
100% |
960
33.7 IPS |
|
|
Object Detection (F16)
|
100% |
962
33.8 IPS |
|
|
Object Detection (I8)
|
52% |
749
26.3 IPS |
|
|
Face Detection (F32)
|
100% |
1125
12.9 IPS |
|
|
Face Detection (F16)
|
100% |
1107
12.7 IPS |
|
|
Face Detection (I8)
|
75% |
819
9.41 IPS |
|
|
Text Classification (F32)
|
100% |
2299
909.4 IPS |
|
|
Text Classification (F16)
|
100% |
2282
902.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1700
262.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1694
261.0 IPS |
