iPhone X
Geekbench ML Score
439
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 29 2025 03:29 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.12 |
| Model | iPhone X |
| Model ID | iPhone10,3 |
| Motherboard | D22AP |
| 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% |
235
44.1 IPS |
|
|
Image Classification (F16)
|
100% |
218
40.8 IPS |
|
|
Image Classification (I8)
|
99% |
218
40.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
204
3.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
210
3.50 IPS |
|
|
Image Segmentation (I8)
|
100% |
211
3.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
1102
1.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
1066
1.29 IPS |
|
|
Pose Estimation (I8)
|
100% |
1083
1.31 IPS |
|
|
Object Detection (F32)
|
100% |
259
19.3 IPS |
|
|
Object Detection (F16)
|
100% |
245
18.3 IPS |
|
|
Object Detection (I8)
|
97% |
259
19.3 IPS |
|
|
Face Detection (F32)
|
100% |
474
5.63 IPS |
|
|
Face Detection (F16)
|
100% |
466
5.54 IPS |
|
|
Face Detection (I8)
|
99% |
466
5.54 IPS |
|
|
Depth Estimation (F32)
|
100% |
630
4.88 IPS |
|
|
Depth Estimation (F16)
|
100% |
587
4.55 IPS |
|
|
Depth Estimation (I8)
|
99% |
586
4.54 IPS |
|
|
Style Transfer (F32)
|
100% |
1826
2.40 IPS |
|
|
Style Transfer (F16)
|
100% |
1842
2.42 IPS |
|
|
Style Transfer (I8)
|
100% |
1856
2.44 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
568
20.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
566
20.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
571
20.4 IPS |
|
|
Text Classification (F32)
|
100% |
252
361.6 IPS |
|
|
Text Classification (F16)
|
100% |
218
313.1 IPS |
|
|
Text Classification (I8)
|
96% |
222
319.2 IPS |
|
|
Machine Translation (F32)
|
100% |
333
6.12 IPS |
|
|
Machine Translation (F16)
|
100% |
273
5.02 IPS |
|
|
Machine Translation (I8)
|
99% |
332
6.10 IPS |
