iPhone 8
Geekbench ML Score
871
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 10:14 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
751
80.4 IPS |
|
|
Image Classification (F16)
|
100% |
990
106.0 IPS |
|
|
Image Classification (I8)
|
81% |
359
38.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2023
12.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3547
21.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
661
4.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
648
2.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
2173
8.79 IPS |
|
|
Pose Estimation (I8)
|
80% |
130
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
1270
44.6 IPS |
|
|
Object Detection (F16)
|
99% |
1325
46.5 IPS |
|
|
Object Detection (I8)
|
52% |
509
17.9 IPS |
|
|
Face Detection (F32)
|
100% |
2114
24.3 IPS |
|
|
Face Detection (F16)
|
97% |
4253
48.9 IPS |
|
|
Face Detection (I8)
|
75% |
482
5.54 IPS |
|
|
Text Classification (F32)
|
100% |
526
208.0 IPS |
|
|
Text Classification (F16)
|
98% |
685
270.7 IPS |
|
|
Machine Translation (F32)
|
100% |
498
76.8 IPS |
|
|
Machine Translation (F16)
|
100% |
477
73.4 IPS |
