iPhone X
Geekbench ML Score
834
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 01:15 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| Model | iPhone X |
| Model ID | iPhone10,3 |
| Motherboard | D22AP |
| 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 | 2.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
647
69.4 IPS |
|
|
Image Classification (F16)
|
100% |
949
101.7 IPS |
|
|
Image Classification (I8)
|
81% |
353
37.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2010
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
3467
21.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
642
3.97 IPS |
|
|
Pose Estimation (F32)
|
100% |
648
2.62 IPS |
|
|
Pose Estimation (F16)
|
100% |
2167
8.77 IPS |
|
|
Pose Estimation (I8)
|
80% |
118
0.48 IPS |
|
|
Object Detection (F32)
|
100% |
1146
40.2 IPS |
|
|
Object Detection (F16)
|
99% |
1187
41.7 IPS |
|
|
Object Detection (I8)
|
52% |
437
15.3 IPS |
|
|
Face Detection (F32)
|
100% |
1902
21.9 IPS |
|
|
Face Detection (F16)
|
97% |
4215
48.4 IPS |
|
|
Face Detection (I8)
|
75% |
398
4.57 IPS |
|
|
Text Classification (F32)
|
100% |
451
178.5 IPS |
|
|
Text Classification (F16)
|
98% |
672
265.9 IPS |
|
|
Machine Translation (F32)
|
100% |
589
90.8 IPS |
|
|
Machine Translation (F16)
|
100% |
596
91.8 IPS |
