iPhone 8
Geekbench ML Score
511
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 08 2022 09:58 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.2 |
| 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% |
382
40.9 IPS |
|
|
Image Classification (F16)
|
100% |
380
40.8 IPS |
|
|
Image Classification (I8)
|
81% |
286
30.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
658
4.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
655
4.05 IPS |
|
|
Image Segmentation (I8)
|
89% |
862
5.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
224
0.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
218
0.88 IPS |
|
|
Pose Estimation (I8)
|
80% |
237
0.96 IPS |
|
|
Object Detection (F32)
|
100% |
585
20.5 IPS |
|
|
Object Detection (F16)
|
100% |
611
21.5 IPS |
|
|
Object Detection (I8)
|
52% |
521
18.3 IPS |
|
|
Face Detection (F32)
|
100% |
719
8.26 IPS |
|
|
Face Detection (F16)
|
100% |
720
8.28 IPS |
|
|
Face Detection (I8)
|
75% |
580
6.66 IPS |
|
|
Text Classification (F32)
|
100% |
715
282.7 IPS |
|
|
Text Classification (F16)
|
100% |
729
288.2 IPS |
|
|
Machine Translation (F32)
|
100% |
744
114.6 IPS |
|
|
Machine Translation (F16)
|
100% |
752
115.8 IPS |
