iPhone 13 Pro Max
Geekbench ML Score
884
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 17 2022 11:49 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| 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% |
743
79.6 IPS |
|
|
Image Classification (F16)
|
100% |
713
76.4 IPS |
|
|
Image Classification (I8)
|
81% |
403
43.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1073
6.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
1024
6.32 IPS |
|
|
Image Segmentation (I8)
|
89% |
1421
8.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
392
1.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
386
1.56 IPS |
|
|
Pose Estimation (I8)
|
80% |
463
1.87 IPS |
|
|
Object Detection (F32)
|
100% |
956
33.6 IPS |
|
|
Object Detection (F16)
|
100% |
1006
35.3 IPS |
|
|
Object Detection (I8)
|
52% |
644
22.6 IPS |
|
|
Face Detection (F32)
|
100% |
1255
14.4 IPS |
|
|
Face Detection (F16)
|
100% |
1226
14.1 IPS |
|
|
Face Detection (I8)
|
75% |
814
9.35 IPS |
|
|
Text Classification (F32)
|
100% |
1304
515.6 IPS |
|
|
Text Classification (F16)
|
100% |
1059
419.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1966
303.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1967
303.1 IPS |
