iPhone 13 Pro
Geekbench ML Score
959
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 06 2021 05:28 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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 | 5.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
790
84.7 IPS |
|
|
Image Classification (F16)
|
100% |
773
82.8 IPS |
|
|
Image Classification (I8)
|
81% |
468
50.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1131
6.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
1111
6.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
1460
9.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
442
1.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
434
1.76 IPS |
|
|
Pose Estimation (I8)
|
80% |
496
2.01 IPS |
|
|
Object Detection (F32)
|
100% |
1136
39.9 IPS |
|
|
Object Detection (F16)
|
100% |
1131
39.7 IPS |
|
|
Object Detection (I8)
|
52% |
783
27.5 IPS |
|
|
Face Detection (F32)
|
100% |
1356
15.6 IPS |
|
|
Face Detection (F16)
|
100% |
1326
15.2 IPS |
|
|
Face Detection (I8)
|
75% |
855
9.82 IPS |
|
|
Text Classification (F32)
|
100% |
1233
487.8 IPS |
|
|
Text Classification (F16)
|
100% |
1250
494.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1974
304.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1961
302.3 IPS |
