iPhone 8 Plus
Geekbench ML Score
434
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 15 2021 03:34 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,5 |
| Motherboard | D211AP |
| 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 | 2.90 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
357
38.2 IPS |
|
|
Image Classification (F16)
|
100% |
283
30.3 IPS |
|
|
Image Classification (I8)
|
81% |
330
35.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
467
2.88 IPS |
|
|
Image Segmentation (F16)
|
100% |
536
3.31 IPS |
|
|
Image Segmentation (I8)
|
89% |
779
4.81 IPS |
|
|
Pose Estimation (F32)
|
100% |
181
0.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
163
0.66 IPS |
|
|
Pose Estimation (I8)
|
80% |
187
0.76 IPS |
|
|
Object Detection (F32)
|
100% |
439
15.4 IPS |
|
|
Object Detection (F16)
|
100% |
493
17.3 IPS |
|
|
Object Detection (I8)
|
52% |
465
16.3 IPS |
|
|
Face Detection (F32)
|
100% |
651
7.48 IPS |
|
|
Face Detection (F16)
|
100% |
625
7.18 IPS |
|
|
Face Detection (I8)
|
75% |
541
6.21 IPS |
|
|
Text Classification (F32)
|
100% |
569
225.2 IPS |
|
|
Text Classification (F16)
|
100% |
626
247.7 IPS |
|
|
Machine Translation (F32)
|
100% |
686
105.7 IPS |
|
|
Machine Translation (F16)
|
100% |
691
106.5 IPS |
