iPhone X
Geekbench ML Score
651
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:25 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.12 |
| 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% |
199
37.2 IPS |
|
|
Image Classification (F16)
|
100% |
168
31.5 IPS |
|
|
Image Classification (I8)
|
99% |
166
31.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
191
3.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
203
3.38 IPS |
|
|
Image Segmentation (I8)
|
100% |
204
3.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
2371
2.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
2869
3.47 IPS |
|
|
Pose Estimation (I8)
|
100% |
2856
3.46 IPS |
|
|
Object Detection (F32)
|
100% |
346
25.8 IPS |
|
|
Object Detection (F16)
|
100% |
306
22.8 IPS |
|
|
Object Detection (I8)
|
97% |
287
21.4 IPS |
|
|
Face Detection (F32)
|
100% |
915
10.9 IPS |
|
|
Face Detection (F16)
|
100% |
977
11.6 IPS |
|
|
Face Detection (I8)
|
99% |
909
10.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2506
19.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2743
21.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
2831
22.0 IPS |
|
|
Style Transfer (F32)
|
100% |
4974
6.54 IPS |
|
|
Style Transfer (F16)
|
100% |
4324
5.69 IPS |
|
|
Style Transfer (I8)
|
100% |
5034
6.62 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1095
39.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
899
32.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1180
42.1 IPS |
|
|
Text Classification (F32)
|
100% |
59
85.2 IPS |
|
|
Text Classification (F16)
|
100% |
195
279.7 IPS |
|
|
Text Classification (I8)
|
96% |
195
280.6 IPS |
|
|
Machine Translation (F32)
|
100% |
308
5.66 IPS |
|
|
Machine Translation (F16)
|
100% |
239
4.40 IPS |
|
|
Machine Translation (I8)
|
99% |
307
5.65 IPS |
