iPhone X
Geekbench ML Score
644
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 10 2025 01:04 AM |
| Views | 10 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
175
32.8 IPS |
|
|
Image Classification (F16)
|
100% |
150
28.0 IPS |
|
|
Image Classification (I8)
|
99% |
147
27.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
203
3.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
2323
2.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
2742
3.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
2687
3.25 IPS |
|
|
Object Detection (F32)
|
100% |
282
21.1 IPS |
|
|
Object Detection (F16)
|
100% |
277
20.7 IPS |
|
|
Object Detection (I8)
|
97% |
363
27.1 IPS |
|
|
Face Detection (F32)
|
100% |
1045
12.4 IPS |
|
|
Face Detection (F16)
|
100% |
913
10.9 IPS |
|
|
Face Detection (I8)
|
99% |
1023
12.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2221
17.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2642
20.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
2636
20.4 IPS |
|
|
Style Transfer (F32)
|
100% |
4564
6.00 IPS |
|
|
Style Transfer (F16)
|
100% |
5037
6.63 IPS |
|
|
Style Transfer (I8)
|
100% |
5015
6.60 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1269
45.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1116
39.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1088
38.9 IPS |
|
|
Text Classification (F32)
|
100% |
52
75.4 IPS |
|
|
Text Classification (F16)
|
100% |
197
282.6 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.0 IPS |
|
|
Machine Translation (F32)
|
100% |
313
5.77 IPS |
|
|
Machine Translation (F16)
|
100% |
244
4.49 IPS |
|
|
Machine Translation (I8)
|
99% |
313
5.76 IPS |
