iPhone 12 Pro Max
Geekbench ML Score
849
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | davidblue |
| Upload Date | September 14 2022 08:56 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| 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 | 5.54 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
640
68.6 IPS |
|
|
Image Classification (F16)
|
100% |
591
63.3 IPS |
|
|
Image Classification (I8)
|
81% |
402
43.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
970
5.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
949
5.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
1375
8.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
361
1.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
303
1.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
438
1.77 IPS |
|
|
Object Detection (F32)
|
100% |
888
31.2 IPS |
|
|
Object Detection (F16)
|
100% |
898
31.5 IPS |
|
|
Object Detection (I8)
|
52% |
689
24.2 IPS |
|
|
Face Detection (F32)
|
100% |
1071
12.3 IPS |
|
|
Face Detection (F16)
|
100% |
1058
12.2 IPS |
|
|
Face Detection (I8)
|
75% |
812
9.33 IPS |
|
|
Text Classification (F32)
|
100% |
1845
729.7 IPS |
|
|
Text Classification (F16)
|
100% |
1934
764.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1653
254.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1649
254.1 IPS |
