iPhone 13
Geekbench ML Score
909
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 09 2023 04:17 AM |
| 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% |
768
82.3 IPS |
|
|
Image Classification (F16)
|
100% |
735
78.7 IPS |
|
|
Image Classification (I8)
|
81% |
463
49.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1087
6.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
1047
6.47 IPS |
|
|
Image Segmentation (I8)
|
89% |
1435
8.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
402
1.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
392
1.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
467
1.89 IPS |
|
|
Object Detection (F32)
|
100% |
1013
35.5 IPS |
|
|
Object Detection (F16)
|
100% |
1005
35.3 IPS |
|
|
Object Detection (I8)
|
52% |
776
27.2 IPS |
|
|
Face Detection (F32)
|
100% |
1264
14.5 IPS |
|
|
Face Detection (F16)
|
100% |
1227
14.1 IPS |
|
|
Face Detection (I8)
|
75% |
844
9.69 IPS |
|
|
Text Classification (F32)
|
100% |
1016
401.8 IPS |
|
|
Text Classification (F16)
|
100% |
1195
472.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2034
313.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2043
314.9 IPS |
