iPhone 8 Plus
Geekbench ML Score
925
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | September 29 2021 12:18 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.7.1 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
885
94.8 IPS |
|
|
Image Classification (F16)
|
100% |
963
103.2 IPS |
|
|
Image Classification (I8)
|
81% |
359
38.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2111
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
3983
24.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
661
4.08 IPS |
|
|
Pose Estimation (F32)
|
100% |
662
2.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
2210
8.94 IPS |
|
|
Pose Estimation (I8)
|
80% |
132
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
1296
45.5 IPS |
|
|
Object Detection (F16)
|
99% |
1281
44.9 IPS |
|
|
Object Detection (I8)
|
52% |
508
17.8 IPS |
|
|
Face Detection (F32)
|
100% |
2125
24.4 IPS |
|
|
Face Detection (F16)
|
97% |
4286
49.2 IPS |
|
|
Face Detection (I8)
|
75% |
489
5.62 IPS |
|
|
Text Classification (F32)
|
100% |
489
193.2 IPS |
|
|
Text Classification (F16)
|
98% |
705
278.9 IPS |
|
|
Machine Translation (F32)
|
100% |
737
113.5 IPS |
|
|
Machine Translation (F16)
|
100% |
736
113.5 IPS |
