iPhone 8 Plus
Geekbench ML Score
389
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 13 2021 05:23 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,2 |
| Motherboard | D21AP |
| 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% |
378
40.5 IPS |
|
|
Image Classification (F16)
|
100% |
355
38.0 IPS |
|
|
Image Classification (I8)
|
81% |
284
30.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
607
3.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
600
3.71 IPS |
|
|
Image Segmentation (I8)
|
89% |
858
5.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
194
0.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
191
0.77 IPS |
|
|
Pose Estimation (I8)
|
80% |
216
0.87 IPS |
|
|
Object Detection (F32)
|
100% |
277
9.72 IPS |
|
|
Object Detection (F16)
|
100% |
175
6.15 IPS |
|
|
Object Detection (I8)
|
52% |
174
6.10 IPS |
|
|
Face Detection (F32)
|
100% |
349
4.01 IPS |
|
|
Face Detection (F16)
|
100% |
514
5.90 IPS |
|
|
Face Detection (I8)
|
75% |
570
6.55 IPS |
|
|
Text Classification (F32)
|
100% |
577
228.4 IPS |
|
|
Text Classification (F16)
|
100% |
651
257.4 IPS |
|
|
Machine Translation (F32)
|
100% |
728
112.2 IPS |
|
|
Machine Translation (F16)
|
100% |
741
114.1 IPS |
