iPhone 8
Geekbench ML Score
139
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 05 2022 01:47 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.3 |
| 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 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
89
9.50 IPS |
|
|
Image Classification (F16)
|
100% |
89
9.53 IPS |
|
|
Image Classification (I8)
|
81% |
78
8.38 IPS |
|
|
Image Segmentation (F32)
|
100% |
170
1.05 IPS |
|
|
Image Segmentation (F16)
|
100% |
190
1.17 IPS |
|
|
Image Segmentation (I8)
|
89% |
358
2.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
52
0.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
50
0.20 IPS |
|
|
Pose Estimation (I8)
|
80% |
69
0.28 IPS |
|
|
Object Detection (F32)
|
100% |
149
5.23 IPS |
|
|
Object Detection (F16)
|
100% |
147
5.17 IPS |
|
|
Object Detection (I8)
|
52% |
173
6.09 IPS |
|
|
Face Detection (F32)
|
100% |
161
1.85 IPS |
|
|
Face Detection (F16)
|
100% |
156
1.79 IPS |
|
|
Face Detection (I8)
|
75% |
173
1.99 IPS |
|
|
Text Classification (F32)
|
100% |
164
65.0 IPS |
|
|
Text Classification (F16)
|
100% |
189
74.7 IPS |
|
|
Machine Translation (F32)
|
100% |
287
44.2 IPS |
|
|
Machine Translation (F16)
|
100% |
295
45.4 IPS |
