iPhone X
Geekbench ML Score
606
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 09 2026 01:54 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.14 |
| Model | iPhone X |
| Model ID | iPhone10,3 |
| Motherboard | D22AP |
| 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% |
202
37.9 IPS |
|
|
Image Classification (F16)
|
100% |
149
27.8 IPS |
|
|
Image Classification (I8)
|
99% |
168
31.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
162
2.70 IPS |
|
|
Image Segmentation (F16)
|
100% |
169
2.83 IPS |
|
|
Image Segmentation (I8)
|
100% |
169
2.83 IPS |
|
|
Pose Estimation (F32)
|
100% |
2207
2.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
2679
3.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
2671
3.23 IPS |
|
|
Object Detection (F32)
|
100% |
354
26.4 IPS |
|
|
Object Detection (F16)
|
100% |
267
19.9 IPS |
|
|
Object Detection (I8)
|
97% |
307
22.9 IPS |
|
|
Face Detection (F32)
|
100% |
927
11.0 IPS |
|
|
Face Detection (F16)
|
100% |
1035
12.3 IPS |
|
|
Face Detection (I8)
|
99% |
916
10.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2318
18.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2854
22.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
2682
20.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4596
6.05 IPS |
|
|
Style Transfer (F16)
|
100% |
5146
6.77 IPS |
|
|
Style Transfer (I8)
|
100% |
4645
6.11 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1095
39.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
973
34.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1180
42.1 IPS |
|
|
Text Classification (F32)
|
100% |
59
84.7 IPS |
|
|
Text Classification (F16)
|
100% |
140
201.3 IPS |
|
|
Text Classification (I8)
|
96% |
140
201.3 IPS |
|
|
Machine Translation (F32)
|
100% |
246
4.52 IPS |
|
|
Machine Translation (F16)
|
100% |
186
3.42 IPS |
|
|
Machine Translation (I8)
|
99% |
246
4.53 IPS |
