iPhone 13 Pro
Geekbench ML Score
700
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 24 2022 06:47 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.2 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.52 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
345
37.0 IPS |
|
|
Image Classification (F16)
|
100% |
367
39.4 IPS |
|
|
Image Classification (I8)
|
81% |
391
41.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
707
4.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
663
4.09 IPS |
|
|
Image Segmentation (I8)
|
89% |
1288
7.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
259
1.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
215
0.87 IPS |
|
|
Pose Estimation (I8)
|
80% |
327
1.32 IPS |
|
|
Object Detection (F32)
|
100% |
783
27.5 IPS |
|
|
Object Detection (F16)
|
100% |
870
30.5 IPS |
|
|
Object Detection (I8)
|
52% |
728
25.5 IPS |
|
|
Face Detection (F32)
|
100% |
872
10.0 IPS |
|
|
Face Detection (F16)
|
100% |
835
9.60 IPS |
|
|
Face Detection (I8)
|
75% |
883
10.1 IPS |
|
|
Text Classification (F32)
|
100% |
1454
575.2 IPS |
|
|
Text Classification (F16)
|
100% |
1079
426.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2052
316.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2051
316.1 IPS |
