iPhone 8
Geekbench ML Score
349
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 15 2021 02:59 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone 8 |
| Model ID | iPhone10,4 |
| Motherboard | D201AP |
| 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 |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
356
38.2 IPS |
|
|
Image Classification (F16)
|
100% |
341
36.5 IPS |
|
|
Image Classification (I8)
|
81% |
144
15.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
255
1.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
362
2.24 IPS |
|
|
Image Segmentation (I8)
|
89% |
686
4.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
137
0.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
116
0.47 IPS |
|
|
Pose Estimation (I8)
|
80% |
121
0.49 IPS |
|
|
Object Detection (F32)
|
100% |
335
11.8 IPS |
|
|
Object Detection (F16)
|
100% |
344
12.1 IPS |
|
|
Object Detection (I8)
|
52% |
467
16.4 IPS |
|
|
Face Detection (F32)
|
100% |
542
6.23 IPS |
|
|
Face Detection (F16)
|
100% |
543
6.24 IPS |
|
|
Face Detection (I8)
|
75% |
544
6.25 IPS |
|
|
Text Classification (F32)
|
100% |
433
171.2 IPS |
|
|
Text Classification (F16)
|
100% |
573
226.5 IPS |
|
|
Machine Translation (F32)
|
100% |
674
103.9 IPS |
|
|
Machine Translation (F16)
|
100% |
685
105.5 IPS |
