iPhone 8 Plus
Geekbench ML Score
348
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 07 2022 01:03 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.6 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,5 |
| Motherboard | D211AP |
| 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 | 2.90 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
242
26.0 IPS |
|
|
Image Classification (F16)
|
100% |
246
26.4 IPS |
|
|
Image Classification (I8)
|
81% |
201
21.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
562
3.47 IPS |
|
|
Image Segmentation (F16)
|
100% |
563
3.48 IPS |
|
|
Image Segmentation (I8)
|
89% |
371
2.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
683
2.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
673
2.72 IPS |
|
|
Pose Estimation (I8)
|
80% |
75
0.30 IPS |
|
|
Object Detection (F32)
|
100% |
473
16.6 IPS |
|
|
Object Detection (F16)
|
100% |
556
19.5 IPS |
|
|
Object Detection (I8)
|
52% |
289
10.1 IPS |
|
|
Face Detection (F32)
|
100% |
750
8.62 IPS |
|
|
Face Detection (F16)
|
100% |
800
9.19 IPS |
|
|
Face Detection (I8)
|
75% |
278
3.20 IPS |
|
|
Text Classification (F32)
|
100% |
113
44.5 IPS |
|
|
Text Classification (F16)
|
100% |
132
52.3 IPS |
|
|
Machine Translation (F32)
|
100% |
462
71.2 IPS |
|
|
Machine Translation (F16)
|
100% |
462
71.2 IPS |
