iPhone X
Geekbench ML Score
382
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | October 06 2022 01:12 PM |
| Views | 4 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
372
39.9 IPS |
|
|
Image Classification (F16)
|
100% |
356
38.2 IPS |
|
|
Image Classification (I8)
|
81% |
282
30.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
593
3.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
560
3.46 IPS |
|
|
Image Segmentation (I8)
|
89% |
773
4.77 IPS |
|
|
Pose Estimation (F32)
|
100% |
185
0.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
148
0.60 IPS |
|
|
Pose Estimation (I8)
|
80% |
129
0.52 IPS |
|
|
Object Detection (F32)
|
100% |
328
11.5 IPS |
|
|
Object Detection (F16)
|
100% |
329
11.5 IPS |
|
|
Object Detection (I8)
|
52% |
495
17.4 IPS |
|
|
Face Detection (F32)
|
100% |
461
5.30 IPS |
|
|
Face Detection (F16)
|
100% |
528
6.07 IPS |
|
|
Face Detection (I8)
|
75% |
551
6.33 IPS |
|
|
Text Classification (F32)
|
100% |
397
157.1 IPS |
|
|
Text Classification (F16)
|
100% |
432
170.8 IPS |
|
|
Machine Translation (F32)
|
100% |
479
73.8 IPS |
|
|
Machine Translation (F16)
|
100% |
595
91.7 IPS |
