iPhone 13
Geekbench ML Score
908
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 12 2023 05:51 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6 |
| 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% |
759
81.3 IPS |
|
|
Image Classification (F16)
|
100% |
705
75.5 IPS |
|
|
Image Classification (I8)
|
81% |
461
49.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1075
6.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
1044
6.45 IPS |
|
|
Image Segmentation (I8)
|
89% |
1454
8.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
405
1.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
399
1.62 IPS |
|
|
Pose Estimation (I8)
|
80% |
467
1.89 IPS |
|
|
Object Detection (F32)
|
100% |
1025
36.0 IPS |
|
|
Object Detection (F16)
|
100% |
1036
36.3 IPS |
|
|
Object Detection (I8)
|
52% |
795
27.9 IPS |
|
|
Face Detection (F32)
|
100% |
1289
14.8 IPS |
|
|
Face Detection (F16)
|
100% |
1246
14.3 IPS |
|
|
Face Detection (I8)
|
75% |
844
9.69 IPS |
|
|
Text Classification (F32)
|
100% |
1046
413.9 IPS |
|
|
Text Classification (F16)
|
100% |
1063
420.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2052
316.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2055
316.8 IPS |
