iPhone 8
Geekbench ML Score
885
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 10:12 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| 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% |
693
74.2 IPS |
|
|
Image Classification (F16)
|
100% |
959
102.7 IPS |
|
|
Image Classification (I8)
|
81% |
358
38.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2026
12.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3542
21.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
658
4.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
646
2.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
2171
8.78 IPS |
|
|
Pose Estimation (I8)
|
80% |
130
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
1134
39.8 IPS |
|
|
Object Detection (F16)
|
99% |
1240
43.5 IPS |
|
|
Object Detection (I8)
|
52% |
501
17.6 IPS |
|
|
Face Detection (F32)
|
100% |
2111
24.3 IPS |
|
|
Face Detection (F16)
|
97% |
4234
48.6 IPS |
|
|
Face Detection (I8)
|
75% |
481
5.53 IPS |
|
|
Text Classification (F32)
|
100% |
454
179.7 IPS |
|
|
Text Classification (F16)
|
98% |
675
266.9 IPS |
|
|
Machine Translation (F32)
|
100% |
726
111.8 IPS |
|
|
Machine Translation (F16)
|
100% |
724
111.5 IPS |
