iPhone 8
Geekbench ML Score
657
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 05 2022 12:20 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 | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
601
64.4 IPS |
|
|
Image Classification (F16)
|
100% |
698
74.8 IPS |
|
|
Image Classification (I8)
|
81% |
358
38.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1189
7.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
2319
14.3 IPS |
|
|
Image Segmentation (I8)
|
89% |
613
3.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
413
1.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
1097
4.44 IPS |
|
|
Pose Estimation (I8)
|
80% |
120
0.49 IPS |
|
|
Object Detection (F32)
|
100% |
438
15.4 IPS |
|
|
Object Detection (F16)
|
99% |
855
30.0 IPS |
|
|
Object Detection (I8)
|
52% |
485
17.0 IPS |
|
|
Face Detection (F32)
|
100% |
1009
11.6 IPS |
|
|
Face Detection (F16)
|
97% |
2192
25.2 IPS |
|
|
Face Detection (I8)
|
75% |
429
4.93 IPS |
|
|
Text Classification (F32)
|
100% |
449
177.5 IPS |
|
|
Text Classification (F16)
|
98% |
675
267.1 IPS |
|
|
Machine Translation (F32)
|
100% |
692
106.7 IPS |
|
|
Machine Translation (F16)
|
100% |
702
108.3 IPS |
