iPhone X
Geekbench ML Score
429
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | iJACguy |
| Upload Date | June 07 2025 05:06 AM |
| Views | 6 |
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
41.1 IPS |
|
|
Image Classification (I8)
|
99% |
219
41.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
207
3.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
211
3.53 IPS |
|
|
Image Segmentation (I8)
|
100% |
211
3.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
1090
1.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
1069
1.29 IPS |
|
|
Pose Estimation (I8)
|
100% |
1075
1.30 IPS |
|
|
Object Detection (F32)
|
100% |
246
18.4 IPS |
|
|
Object Detection (F16)
|
100% |
240
17.9 IPS |
|
|
Object Detection (I8)
|
97% |
257
19.2 IPS |
|
|
Face Detection (F32)
|
100% |
480
5.71 IPS |
|
|
Face Detection (F16)
|
100% |
474
5.64 IPS |
|
|
Face Detection (I8)
|
99% |
473
5.63 IPS |
|
|
Depth Estimation (F32)
|
100% |
632
4.90 IPS |
|
|
Depth Estimation (F16)
|
100% |
587
4.56 IPS |
|
|
Depth Estimation (I8)
|
99% |
593
4.60 IPS |
|
|
Style Transfer (F32)
|
100% |
1807
2.38 IPS |
|
|
Style Transfer (F16)
|
100% |
1694
2.23 IPS |
|
|
Style Transfer (I8)
|
100% |
1633
2.15 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
514
18.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
552
19.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
551
19.7 IPS |
|
|
Text Classification (F32)
|
100% |
231
332.4 IPS |
|
|
Text Classification (F16)
|
100% |
220
316.8 IPS |
|
|
Text Classification (I8)
|
96% |
227
325.6 IPS |
|
|
Machine Translation (F32)
|
100% |
321
5.90 IPS |
|
|
Machine Translation (F16)
|
100% |
240
4.42 IPS |
|
|
Machine Translation (I8)
|
99% |
304
5.59 IPS |
