iPhone X
Geekbench ML Score
418
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 08:34 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| 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 |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| 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 | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
239
44.7 IPS |
|
|
Image Classification (F16)
|
100% |
222
41.5 IPS |
|
|
Image Classification (I8)
|
99% |
220
41.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
206
3.44 IPS |
|
|
Image Segmentation (F16)
|
100% |
210
3.51 IPS |
|
|
Image Segmentation (I8)
|
100% |
160
2.67 IPS |
|
|
Pose Estimation (F32)
|
100% |
963
1.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
883
1.07 IPS |
|
|
Pose Estimation (I8)
|
100% |
870
1.05 IPS |
|
|
Object Detection (F32)
|
100% |
207
15.4 IPS |
|
|
Object Detection (F16)
|
100% |
218
16.3 IPS |
|
|
Object Detection (I8)
|
97% |
247
18.4 IPS |
|
|
Face Detection (F32)
|
100% |
475
5.64 IPS |
|
|
Face Detection (F16)
|
100% |
471
5.61 IPS |
|
|
Face Detection (I8)
|
99% |
470
5.59 IPS |
|
|
Depth Estimation (F32)
|
100% |
627
4.87 IPS |
|
|
Depth Estimation (F16)
|
100% |
576
4.47 IPS |
|
|
Depth Estimation (I8)
|
99% |
574
4.45 IPS |
|
|
Style Transfer (F32)
|
100% |
1721
2.26 IPS |
|
|
Style Transfer (F16)
|
100% |
1703
2.24 IPS |
|
|
Style Transfer (I8)
|
100% |
1703
2.24 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
553
19.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
566
20.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
564
20.1 IPS |
|
|
Text Classification (F32)
|
100% |
246
353.3 IPS |
|
|
Text Classification (F16)
|
100% |
213
305.5 IPS |
|
|
Text Classification (I8)
|
96% |
222
319.3 IPS |
|
|
Machine Translation (F32)
|
100% |
331
6.09 IPS |
|
|
Machine Translation (F16)
|
100% |
272
5.01 IPS |
|
|
Machine Translation (I8)
|
99% |
329
6.06 IPS |
