iPhone X
Geekbench ML Score
431
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 25 2025 05:59 PM |
| Views | 2 |
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% |
236
44.1 IPS |
|
|
Image Classification (F16)
|
100% |
218
40.8 IPS |
|
|
Image Classification (I8)
|
99% |
214
40.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
206
3.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
206
3.44 IPS |
|
|
Image Segmentation (I8)
|
100% |
204
3.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
1033
1.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
1000
1.21 IPS |
|
|
Pose Estimation (I8)
|
100% |
1033
1.25 IPS |
|
|
Object Detection (F32)
|
100% |
246
18.4 IPS |
|
|
Object Detection (F16)
|
100% |
242
18.1 IPS |
|
|
Object Detection (I8)
|
97% |
259
19.3 IPS |
|
|
Face Detection (F32)
|
100% |
481
5.71 IPS |
|
|
Face Detection (F16)
|
100% |
475
5.64 IPS |
|
|
Face Detection (I8)
|
99% |
473
5.63 IPS |
|
|
Depth Estimation (F32)
|
100% |
619
4.80 IPS |
|
|
Depth Estimation (F16)
|
100% |
583
4.52 IPS |
|
|
Depth Estimation (I8)
|
99% |
576
4.47 IPS |
|
|
Style Transfer (F32)
|
100% |
1764
2.32 IPS |
|
|
Style Transfer (F16)
|
100% |
1712
2.25 IPS |
|
|
Style Transfer (I8)
|
100% |
1721
2.26 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
556
19.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
563
20.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
563
20.1 IPS |
|
|
Text Classification (F32)
|
100% |
251
360.3 IPS |
|
|
Text Classification (F16)
|
100% |
215
308.3 IPS |
|
|
Text Classification (I8)
|
96% |
218
313.6 IPS |
|
|
Machine Translation (F32)
|
100% |
332
6.11 IPS |
|
|
Machine Translation (F16)
|
100% |
270
4.97 IPS |
|
|
Machine Translation (I8)
|
99% |
333
6.13 IPS |
