iPhone 13 Pro
Geekbench ML Score
929
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 14 2022 11:22 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.2.1 |
| 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
770
82.5 IPS |
|
|
Image Classification (F16)
|
100% |
746
80.0 IPS |
|
|
Image Classification (I8)
|
81% |
450
48.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1102
6.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
1074
6.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
1459
9.01 IPS |
|
|
Pose Estimation (F32)
|
100% |
415
1.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
411
1.66 IPS |
|
|
Pose Estimation (I8)
|
80% |
488
1.97 IPS |
|
|
Object Detection (F32)
|
100% |
1073
37.6 IPS |
|
|
Object Detection (F16)
|
100% |
1077
37.8 IPS |
|
|
Object Detection (I8)
|
52% |
747
26.2 IPS |
|
|
Face Detection (F32)
|
100% |
1321
15.2 IPS |
|
|
Face Detection (F16)
|
100% |
1280
14.7 IPS |
|
|
Face Detection (I8)
|
75% |
853
9.80 IPS |
|
|
Text Classification (F32)
|
100% |
1152
455.5 IPS |
|
|
Text Classification (F16)
|
100% |
1229
486.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1954
301.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1968
303.3 IPS |
