iPhone X
Geekbench ML Score
381
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 11 2025 02:27 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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% |
237
44.3 IPS |
|
|
Image Classification (F16)
|
100% |
219
41.0 IPS |
|
|
Image Classification (I8)
|
99% |
217
40.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
961
1.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
918
1.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
988
1.20 IPS |
|
|
Object Detection (F32)
|
100% |
242
18.1 IPS |
|
|
Object Detection (F16)
|
100% |
233
17.4 IPS |
|
|
Object Detection (I8)
|
97% |
257
19.2 IPS |
|
|
Face Detection (F32)
|
100% |
473
5.62 IPS |
|
|
Face Detection (F16)
|
100% |
451
5.37 IPS |
|
|
Face Detection (I8)
|
99% |
432
5.13 IPS |
|
|
Depth Estimation (F32)
|
100% |
557
4.32 IPS |
|
|
Depth Estimation (F16)
|
100% |
430
3.33 IPS |
|
|
Depth Estimation (I8)
|
99% |
425
3.30 IPS |
|
|
Style Transfer (F32)
|
100% |
1355
1.78 IPS |
|
|
Style Transfer (F16)
|
100% |
1251
1.65 IPS |
|
|
Style Transfer (I8)
|
100% |
1260
1.66 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
422
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
415
14.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
501
17.9 IPS |
|
|
Text Classification (F32)
|
100% |
203
291.7 IPS |
|
|
Text Classification (F16)
|
100% |
200
287.5 IPS |
|
|
Text Classification (I8)
|
96% |
211
303.3 IPS |
|
|
Machine Translation (F32)
|
100% |
273
5.02 IPS |
|
|
Machine Translation (F16)
|
100% |
218
4.01 IPS |
|
|
Machine Translation (I8)
|
99% |
263
4.83 IPS |
