iPhone 12 Pro Max
Geekbench ML Score
657
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 10 2023 04:42 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| 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 | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
415
44.5 IPS |
|
|
Image Classification (F16)
|
100% |
419
44.9 IPS |
|
|
Image Classification (I8)
|
81% |
701
75.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
527
3.26 IPS |
|
|
Image Segmentation (F16)
|
100% |
529
3.27 IPS |
|
|
Image Segmentation (I8)
|
89% |
1198
7.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
264
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
302
1.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
359
1.45 IPS |
|
|
Object Detection (F32)
|
100% |
625
21.9 IPS |
|
|
Object Detection (F16)
|
100% |
629
22.1 IPS |
|
|
Object Detection (I8)
|
52% |
878
30.8 IPS |
|
|
Face Detection (F32)
|
100% |
774
8.89 IPS |
|
|
Face Detection (F16)
|
100% |
775
8.90 IPS |
|
|
Face Detection (I8)
|
75% |
903
10.4 IPS |
|
|
Text Classification (F32)
|
100% |
1547
611.9 IPS |
|
|
Text Classification (F16)
|
100% |
1527
603.9 IPS |
|
|
Machine Translation (F32)
|
100% |
818
126.0 IPS |
|
|
Machine Translation (F16)
|
100% |
826
127.3 IPS |
