iPhone 13 Pro
Geekbench ML Score
743
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 30 2023 02:26 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.1.1 |
| 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
518
55.5 IPS |
|
|
Image Classification (F16)
|
100% |
512
54.8 IPS |
|
|
Image Classification (I8)
|
81% |
792
84.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
586
3.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
595
3.68 IPS |
|
|
Image Segmentation (I8)
|
89% |
1368
8.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
243
0.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
324
1.31 IPS |
|
|
Pose Estimation (I8)
|
80% |
385
1.56 IPS |
|
|
Object Detection (F32)
|
100% |
795
27.9 IPS |
|
|
Object Detection (F16)
|
100% |
797
28.0 IPS |
|
|
Object Detection (I8)
|
52% |
1035
36.3 IPS |
|
|
Face Detection (F32)
|
100% |
866
9.95 IPS |
|
|
Face Detection (F16)
|
100% |
899
10.3 IPS |
|
|
Face Detection (I8)
|
75% |
1081
12.4 IPS |
|
|
Text Classification (F32)
|
100% |
1527
603.9 IPS |
|
|
Text Classification (F16)
|
100% |
1405
555.8 IPS |
|
|
Machine Translation (F32)
|
100% |
998
153.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1001
154.2 IPS |
