iPhone 13 Pro Max
Geekbench ML Score
922
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 01:01 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 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 | 5.49 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
778
83.4 IPS |
|
|
Image Classification (F16)
|
100% |
752
80.5 IPS |
|
|
Image Classification (I8)
|
81% |
450
48.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1130
6.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
1101
6.80 IPS |
|
|
Image Segmentation (I8)
|
89% |
1454
8.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
419
1.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
415
1.68 IPS |
|
|
Pose Estimation (I8)
|
80% |
486
1.97 IPS |
|
|
Object Detection (F32)
|
100% |
1100
38.6 IPS |
|
|
Object Detection (F16)
|
100% |
1073
37.7 IPS |
|
|
Object Detection (I8)
|
52% |
729
25.6 IPS |
|
|
Face Detection (F32)
|
100% |
1332
15.3 IPS |
|
|
Face Detection (F16)
|
100% |
1296
14.9 IPS |
|
|
Face Detection (I8)
|
75% |
841
9.66 IPS |
|
|
Text Classification (F32)
|
100% |
977
386.2 IPS |
|
|
Text Classification (F16)
|
100% |
1052
416.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2033
313.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2055
316.6 IPS |
