iPhone 8
Geekbench ML Score
284
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | May 31 2023 12:54 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.5 |
| Model | iPhone 8 |
| Model ID | iPhone10,1 |
| Motherboard | D20AP |
| CPU Information | |
|---|---|
| Name | Apple A11 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.39 GHz |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 1.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
219
23.5 IPS |
|
|
Image Classification (F16)
|
100% |
210
22.5 IPS |
|
|
Image Classification (I8)
|
81% |
269
28.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
363
2.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
365
2.25 IPS |
|
|
Image Segmentation (I8)
|
89% |
581
3.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
79
0.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
81
0.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
109
0.44 IPS |
|
|
Object Detection (F32)
|
100% |
320
11.2 IPS |
|
|
Object Detection (F16)
|
100% |
323
11.3 IPS |
|
|
Object Detection (I8)
|
52% |
436
15.3 IPS |
|
|
Face Detection (F32)
|
100% |
388
4.46 IPS |
|
|
Face Detection (F16)
|
100% |
370
4.25 IPS |
|
|
Face Detection (I8)
|
75% |
406
4.67 IPS |
|
|
Text Classification (F32)
|
100% |
271
107.3 IPS |
|
|
Text Classification (F16)
|
100% |
406
160.7 IPS |
|
|
Machine Translation (F32)
|
100% |
461
71.0 IPS |
|
|
Machine Translation (F16)
|
100% |
466
71.8 IPS |
