iPhone X
Geekbench ML Score
420
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 20 2025 07:49 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| 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% |
208
38.9 IPS |
|
|
Image Classification (F16)
|
100% |
194
36.3 IPS |
|
|
Image Classification (I8)
|
99% |
192
35.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
166
2.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
175
2.93 IPS |
|
|
Image Segmentation (I8)
|
100% |
177
2.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
1009
1.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
1028
1.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
1001
1.21 IPS |
|
|
Object Detection (F32)
|
100% |
247
18.4 IPS |
|
|
Object Detection (F16)
|
100% |
240
17.9 IPS |
|
|
Object Detection (I8)
|
97% |
260
19.4 IPS |
|
|
Face Detection (F32)
|
100% |
480
5.71 IPS |
|
|
Face Detection (F16)
|
100% |
473
5.63 IPS |
|
|
Face Detection (I8)
|
99% |
473
5.62 IPS |
|
|
Depth Estimation (F32)
|
100% |
628
4.87 IPS |
|
|
Depth Estimation (F16)
|
100% |
588
4.56 IPS |
|
|
Depth Estimation (I8)
|
99% |
586
4.55 IPS |
|
|
Style Transfer (F32)
|
100% |
1804
2.37 IPS |
|
|
Style Transfer (F16)
|
100% |
1706
2.24 IPS |
|
|
Style Transfer (I8)
|
100% |
1701
2.24 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
562
20.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
574
20.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
578
20.6 IPS |
|
|
Text Classification (F32)
|
100% |
250
359.6 IPS |
|
|
Text Classification (F16)
|
100% |
210
301.5 IPS |
|
|
Text Classification (I8)
|
96% |
218
312.8 IPS |
|
|
Machine Translation (F32)
|
100% |
334
6.15 IPS |
|
|
Machine Translation (F16)
|
100% |
271
4.99 IPS |
|
|
Machine Translation (I8)
|
99% |
333
6.13 IPS |
