iPhone X
Geekbench ML Score
318
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| User | jnakoda |
| Upload Date | October 24 2021 01:07 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0.2 |
| Model | iPhone X |
| Model ID | iPhone10,6 |
| Motherboard | D221AP |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
309
33.1 IPS |
|
|
Image Classification (F16)
|
100% |
232
24.9 IPS |
|
|
Image Classification (I8)
|
81% |
302
32.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
383
2.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
380
2.35 IPS |
|
|
Image Segmentation (I8)
|
89% |
671
4.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
86
0.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
87
0.35 IPS |
|
|
Pose Estimation (I8)
|
80% |
121
0.49 IPS |
|
|
Object Detection (F32)
|
100% |
344
12.1 IPS |
|
|
Object Detection (F16)
|
100% |
340
11.9 IPS |
|
|
Object Detection (I8)
|
52% |
461
16.2 IPS |
|
|
Face Detection (F32)
|
100% |
428
4.92 IPS |
|
|
Face Detection (F16)
|
100% |
429
4.93 IPS |
|
|
Face Detection (I8)
|
75% |
441
5.06 IPS |
|
|
Text Classification (F32)
|
100% |
435
172.0 IPS |
|
|
Text Classification (F16)
|
100% |
433
171.3 IPS |
|
|
Machine Translation (F32)
|
100% |
485
74.8 IPS |
|
|
Machine Translation (F16)
|
100% |
483
74.5 IPS |
