iPhone X
Geekbench ML Score
432
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 10 2025 12:59 AM |
| Views | 5 |
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% |
234
43.8 IPS |
|
|
Image Classification (F16)
|
100% |
219
40.9 IPS |
|
|
Image Classification (I8)
|
99% |
215
40.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
207
3.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
208
3.48 IPS |
|
|
Image Segmentation (I8)
|
100% |
208
3.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
1125
1.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
1065
1.29 IPS |
|
|
Pose Estimation (I8)
|
100% |
1046
1.27 IPS |
|
|
Object Detection (F32)
|
100% |
247
18.4 IPS |
|
|
Object Detection (F16)
|
100% |
237
17.7 IPS |
|
|
Object Detection (I8)
|
97% |
260
19.4 IPS |
|
|
Face Detection (F32)
|
100% |
479
5.70 IPS |
|
|
Face Detection (F16)
|
100% |
475
5.64 IPS |
|
|
Face Detection (I8)
|
99% |
473
5.63 IPS |
|
|
Depth Estimation (F32)
|
100% |
623
4.83 IPS |
|
|
Depth Estimation (F16)
|
100% |
582
4.51 IPS |
|
|
Depth Estimation (I8)
|
99% |
573
4.44 IPS |
|
|
Style Transfer (F32)
|
100% |
1788
2.35 IPS |
|
|
Style Transfer (F16)
|
100% |
1698
2.23 IPS |
|
|
Style Transfer (I8)
|
100% |
1716
2.26 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
553
19.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
561
20.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
561
20.1 IPS |
|
|
Text Classification (F32)
|
100% |
255
366.3 IPS |
|
|
Text Classification (F16)
|
100% |
215
308.5 IPS |
|
|
Text Classification (I8)
|
96% |
214
308.0 IPS |
|
|
Machine Translation (F32)
|
100% |
327
6.02 IPS |
|
|
Machine Translation (F16)
|
100% |
264
4.86 IPS |
|
|
Machine Translation (I8)
|
99% |
312
5.74 IPS |
