iPhone 12 Pro Max
Geekbench ML Score
915
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 06 2021 05:32 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| 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% |
631
67.6 IPS |
|
|
Image Classification (F16)
|
100% |
620
66.4 IPS |
|
|
Image Classification (I8)
|
81% |
448
48.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1026
6.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
1008
6.22 IPS |
|
|
Image Segmentation (I8)
|
89% |
1405
8.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
386
1.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
380
1.54 IPS |
|
|
Pose Estimation (I8)
|
80% |
458
1.85 IPS |
|
|
Object Detection (F32)
|
100% |
959
33.7 IPS |
|
|
Object Detection (F16)
|
100% |
962
33.8 IPS |
|
|
Object Detection (I8)
|
52% |
755
26.5 IPS |
|
|
Face Detection (F32)
|
100% |
1117
12.8 IPS |
|
|
Face Detection (F16)
|
100% |
1110
12.8 IPS |
|
|
Face Detection (I8)
|
75% |
827
9.50 IPS |
|
|
Text Classification (F32)
|
100% |
2334
923.0 IPS |
|
|
Text Classification (F16)
|
100% |
2335
923.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1686
259.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1674
258.0 IPS |
