iPhone 13
Geekbench ML Score
927
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 11 2023 08:58 AM |
| Views | 13 |
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% |
793
84.9 IPS |
|
|
Image Classification (F16)
|
100% |
755
80.9 IPS |
|
|
Image Classification (I8)
|
81% |
464
49.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1118
6.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
1098
6.78 IPS |
|
|
Image Segmentation (I8)
|
89% |
1449
8.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
421
1.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
415
1.68 IPS |
|
|
Pose Estimation (I8)
|
80% |
477
1.93 IPS |
|
|
Object Detection (F32)
|
100% |
1085
38.1 IPS |
|
|
Object Detection (F16)
|
100% |
1094
38.4 IPS |
|
|
Object Detection (I8)
|
52% |
784
27.5 IPS |
|
|
Face Detection (F32)
|
100% |
1340
15.4 IPS |
|
|
Face Detection (F16)
|
100% |
1298
14.9 IPS |
|
|
Face Detection (I8)
|
75% |
852
9.79 IPS |
|
|
Text Classification (F32)
|
100% |
977
386.6 IPS |
|
|
Text Classification (F16)
|
100% |
1037
410.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2057
317.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2041
314.6 IPS |
