iPhone 13
Geekbench ML Score
914
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 05:20 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.2 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| 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 | 3.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
790
84.7 IPS |
|
|
Image Classification (F16)
|
100% |
741
79.4 IPS |
|
|
Image Classification (I8)
|
81% |
473
50.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1089
6.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
1044
6.45 IPS |
|
|
Image Segmentation (I8)
|
89% |
1460
9.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
410
1.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
402
1.63 IPS |
|
|
Pose Estimation (I8)
|
80% |
461
1.87 IPS |
|
|
Object Detection (F32)
|
100% |
1011
35.5 IPS |
|
|
Object Detection (F16)
|
100% |
1016
35.6 IPS |
|
|
Object Detection (I8)
|
52% |
787
27.6 IPS |
|
|
Face Detection (F32)
|
100% |
1290
14.8 IPS |
|
|
Face Detection (F16)
|
100% |
1244
14.3 IPS |
|
|
Face Detection (I8)
|
75% |
858
9.85 IPS |
|
|
Text Classification (F32)
|
100% |
1034
409.2 IPS |
|
|
Text Classification (F16)
|
100% |
1084
428.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2049
315.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2045
315.1 IPS |
