iPhone X
Geekbench ML Score
647
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:20 PM |
| Views | 6 |
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% |
207
38.8 IPS |
|
|
Image Classification (F16)
|
100% |
164
30.6 IPS |
|
|
Image Classification (I8)
|
99% |
170
31.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
190
3.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
203
3.39 IPS |
|
|
Image Segmentation (I8)
|
100% |
201
3.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
2361
2.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
2872
3.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
2870
3.48 IPS |
|
|
Object Detection (F32)
|
100% |
303
22.6 IPS |
|
|
Object Detection (F16)
|
100% |
265
19.8 IPS |
|
|
Object Detection (I8)
|
97% |
296
22.1 IPS |
|
|
Face Detection (F32)
|
100% |
939
11.2 IPS |
|
|
Face Detection (F16)
|
100% |
927
11.0 IPS |
|
|
Face Detection (I8)
|
99% |
871
10.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2487
19.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2753
21.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
2734
21.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4753
6.25 IPS |
|
|
Style Transfer (F16)
|
100% |
4544
5.98 IPS |
|
|
Style Transfer (I8)
|
100% |
4791
6.30 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1218
43.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1192
42.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1002
35.8 IPS |
|
|
Text Classification (F32)
|
100% |
60
86.2 IPS |
|
|
Text Classification (F16)
|
100% |
193
277.4 IPS |
|
|
Text Classification (I8)
|
96% |
193
277.9 IPS |
|
|
Machine Translation (F32)
|
100% |
304
5.59 IPS |
|
|
Machine Translation (F16)
|
100% |
239
4.41 IPS |
|
|
Machine Translation (I8)
|
99% |
308
5.66 IPS |
