iPhone 13 Pro Max
Geekbench ML Score
911
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 15 2022 07:21 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.5 |
| 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% |
752
80.6 IPS |
|
|
Image Classification (F16)
|
100% |
723
77.4 IPS |
|
|
Image Classification (I8)
|
81% |
410
44.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1072
6.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
1069
6.60 IPS |
|
|
Image Segmentation (I8)
|
89% |
1438
8.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
418
1.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
414
1.68 IPS |
|
|
Pose Estimation (I8)
|
80% |
486
1.97 IPS |
|
|
Object Detection (F32)
|
100% |
1073
37.6 IPS |
|
|
Object Detection (F16)
|
100% |
1091
38.3 IPS |
|
|
Object Detection (I8)
|
52% |
732
25.7 IPS |
|
|
Face Detection (F32)
|
100% |
1312
15.1 IPS |
|
|
Face Detection (F16)
|
100% |
1299
14.9 IPS |
|
|
Face Detection (I8)
|
75% |
843
9.69 IPS |
|
|
Text Classification (F32)
|
100% |
1101
435.6 IPS |
|
|
Text Classification (F16)
|
100% |
1082
428.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1949
300.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1948
300.2 IPS |
