iPhone 12 Pro Max
Geekbench ML Score
900
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 07:42 AM |
| 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% |
632
67.7 IPS |
|
|
Image Classification (F16)
|
100% |
626
67.1 IPS |
|
|
Image Classification (I8)
|
81% |
439
47.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
978
6.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
962
5.94 IPS |
|
|
Image Segmentation (I8)
|
89% |
1410
8.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
373
1.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
367
1.49 IPS |
|
|
Pose Estimation (I8)
|
80% |
451
1.83 IPS |
|
|
Object Detection (F32)
|
100% |
894
31.4 IPS |
|
|
Object Detection (F16)
|
100% |
905
31.8 IPS |
|
|
Object Detection (I8)
|
52% |
755
26.5 IPS |
|
|
Face Detection (F32)
|
100% |
1095
12.6 IPS |
|
|
Face Detection (F16)
|
100% |
1086
12.5 IPS |
|
|
Face Detection (I8)
|
75% |
816
9.38 IPS |
|
|
Text Classification (F32)
|
100% |
2423
958.5 IPS |
|
|
Text Classification (F16)
|
100% |
2338
924.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1698
261.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1694
261.1 IPS |
