iPhone 13 Pro
Geekbench ML Score
944
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | January 15 2022 01:28 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| 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% |
801
85.8 IPS |
|
|
Image Classification (F16)
|
100% |
762
81.6 IPS |
|
|
Image Classification (I8)
|
81% |
458
49.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1131
6.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
1117
6.90 IPS |
|
|
Image Segmentation (I8)
|
89% |
1461
9.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
428
1.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
421
1.70 IPS |
|
|
Pose Estimation (I8)
|
80% |
491
1.99 IPS |
|
|
Object Detection (F32)
|
100% |
1107
38.8 IPS |
|
|
Object Detection (F16)
|
100% |
1111
39.0 IPS |
|
|
Object Detection (I8)
|
52% |
773
27.1 IPS |
|
|
Face Detection (F32)
|
100% |
1342
15.4 IPS |
|
|
Face Detection (F16)
|
100% |
1313
15.1 IPS |
|
|
Face Detection (I8)
|
75% |
855
9.82 IPS |
|
|
Text Classification (F32)
|
100% |
1135
449.0 IPS |
|
|
Text Classification (F16)
|
100% |
1197
473.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1949
300.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1952
300.8 IPS |
