iPhone 13 Pro
Geekbench ML Score
866
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 13 2023 10:08 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.2 |
| 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% |
718
77.0 IPS |
|
|
Image Classification (F16)
|
100% |
676
72.4 IPS |
|
|
Image Classification (I8)
|
81% |
425
45.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1132
6.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
1048
6.48 IPS |
|
|
Image Segmentation (I8)
|
89% |
1424
8.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
381
1.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
368
1.49 IPS |
|
|
Pose Estimation (I8)
|
80% |
444
1.80 IPS |
|
|
Object Detection (F32)
|
100% |
950
33.3 IPS |
|
|
Object Detection (F16)
|
100% |
968
34.0 IPS |
|
|
Object Detection (I8)
|
52% |
716
25.1 IPS |
|
|
Face Detection (F32)
|
100% |
1165
13.4 IPS |
|
|
Face Detection (F16)
|
100% |
1108
12.7 IPS |
|
|
Face Detection (I8)
|
75% |
837
9.62 IPS |
|
|
Text Classification (F32)
|
100% |
954
377.5 IPS |
|
|
Text Classification (F16)
|
100% |
1074
424.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2045
315.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2043
314.9 IPS |
