iPhone X
Geekbench ML Score
318
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | December 09 2023 07:25 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.2 |
| 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% |
234
25.1 IPS |
|
|
Image Classification (F16)
|
100% |
233
25.0 IPS |
|
|
Image Classification (I8)
|
81% |
308
33.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
387
2.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
398
2.46 IPS |
|
|
Image Segmentation (I8)
|
89% |
672
4.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
88
0.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
86
0.35 IPS |
|
|
Pose Estimation (I8)
|
80% |
124
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
348
12.2 IPS |
|
|
Object Detection (F16)
|
100% |
346
12.1 IPS |
|
|
Object Detection (I8)
|
52% |
487
17.1 IPS |
|
|
Face Detection (F32)
|
100% |
434
4.98 IPS |
|
|
Face Detection (F16)
|
100% |
433
4.97 IPS |
|
|
Face Detection (I8)
|
75% |
470
5.40 IPS |
|
|
Text Classification (F32)
|
100% |
432
170.8 IPS |
|
|
Text Classification (F16)
|
100% |
434
171.6 IPS |
|
|
Machine Translation (F32)
|
100% |
481
74.1 IPS |
|
|
Machine Translation (F16)
|
100% |
478
73.6 IPS |
