iPhone X
Geekbench ML Score
633
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 14 2025 06:43 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% |
180
33.7 IPS |
|
|
Image Classification (F16)
|
100% |
155
29.1 IPS |
|
|
Image Classification (I8)
|
99% |
152
28.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
185
3.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.35 IPS |
|
|
Image Segmentation (I8)
|
100% |
200
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
2294
2.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
2662
3.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
2713
3.29 IPS |
|
|
Object Detection (F32)
|
100% |
287
21.4 IPS |
|
|
Object Detection (F16)
|
100% |
288
21.5 IPS |
|
|
Object Detection (I8)
|
97% |
291
21.8 IPS |
|
|
Face Detection (F32)
|
100% |
935
11.1 IPS |
|
|
Face Detection (F16)
|
100% |
931
11.1 IPS |
|
|
Face Detection (I8)
|
99% |
984
11.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2279
17.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2632
20.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2590
20.1 IPS |
|
|
Style Transfer (F32)
|
100% |
5012
6.59 IPS |
|
|
Style Transfer (F16)
|
100% |
5451
7.17 IPS |
|
|
Style Transfer (I8)
|
100% |
5130
6.75 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1094
39.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1116
39.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1095
39.1 IPS |
|
|
Text Classification (F32)
|
100% |
56
80.0 IPS |
|
|
Text Classification (F16)
|
100% |
196
282.0 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.6 IPS |
|
|
Machine Translation (F32)
|
100% |
250
4.61 IPS |
|
|
Machine Translation (F16)
|
100% |
228
4.19 IPS |
|
|
Machine Translation (I8)
|
99% |
288
5.30 IPS |
