iPhone X
Geekbench ML Score
483
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 15 2024 03:55 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.6.1 |
| 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% |
381
40.8 IPS |
|
|
Image Classification (F16)
|
100% |
371
39.7 IPS |
|
|
Image Classification (I8)
|
81% |
282
30.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
623
3.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
617
3.81 IPS |
|
|
Image Segmentation (I8)
|
89% |
848
5.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
199
0.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
202
0.82 IPS |
|
|
Pose Estimation (I8)
|
80% |
226
0.91 IPS |
|
|
Object Detection (F32)
|
100% |
572
20.1 IPS |
|
|
Object Detection (F16)
|
100% |
574
20.2 IPS |
|
|
Object Detection (I8)
|
52% |
511
17.9 IPS |
|
|
Face Detection (F32)
|
100% |
706
8.11 IPS |
|
|
Face Detection (F16)
|
100% |
666
7.65 IPS |
|
|
Face Detection (I8)
|
75% |
570
6.55 IPS |
|
|
Text Classification (F32)
|
100% |
645
255.2 IPS |
|
|
Text Classification (F16)
|
100% |
580
229.4 IPS |
|
|
Machine Translation (F32)
|
100% |
709
109.3 IPS |
|
|
Machine Translation (F16)
|
100% |
729
112.3 IPS |
