iPhone 13
Geekbench ML Score
711
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 14 2022 02:19 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.4.1 |
| 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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
463
49.6 IPS |
|
|
Image Classification (F16)
|
100% |
479
51.3 IPS |
|
|
Image Classification (I8)
|
81% |
814
87.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
602
3.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
599
3.70 IPS |
|
|
Image Segmentation (I8)
|
89% |
1444
8.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
243
0.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
313
1.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
394
1.59 IPS |
|
|
Object Detection (F32)
|
100% |
752
26.4 IPS |
|
|
Object Detection (F16)
|
100% |
741
26.0 IPS |
|
|
Object Detection (I8)
|
52% |
1153
40.5 IPS |
|
|
Face Detection (F32)
|
100% |
833
9.57 IPS |
|
|
Face Detection (F16)
|
100% |
870
10.00 IPS |
|
|
Face Detection (I8)
|
75% |
1155
13.3 IPS |
|
|
Text Classification (F32)
|
100% |
1099
434.8 IPS |
|
|
Text Classification (F16)
|
100% |
1108
438.3 IPS |
|
|
Machine Translation (F32)
|
100% |
917
141.3 IPS |
|
|
Machine Translation (F16)
|
100% |
928
143.0 IPS |
