iPhone X
Geekbench ML Score
649
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 28 2025 11:00 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.8 |
| 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% |
185
34.7 IPS |
|
|
Image Classification (F16)
|
100% |
160
29.9 IPS |
|
|
Image Classification (I8)
|
99% |
153
28.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
202
3.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
2330
2.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
2785
3.37 IPS |
|
|
Pose Estimation (I8)
|
100% |
2747
3.33 IPS |
|
|
Object Detection (F32)
|
100% |
361
27.0 IPS |
|
|
Object Detection (F16)
|
100% |
280
20.9 IPS |
|
|
Object Detection (I8)
|
97% |
321
24.0 IPS |
|
|
Face Detection (F32)
|
100% |
947
11.3 IPS |
|
|
Face Detection (F16)
|
100% |
971
11.6 IPS |
|
|
Face Detection (I8)
|
99% |
1014
12.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2355
18.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2689
20.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
2592
20.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4863
6.40 IPS |
|
|
Style Transfer (F16)
|
100% |
5508
7.25 IPS |
|
|
Style Transfer (I8)
|
100% |
4609
6.06 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1058
37.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1168
41.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
978
34.9 IPS |
|
|
Text Classification (F32)
|
100% |
59
84.5 IPS |
|
|
Text Classification (F16)
|
100% |
194
278.9 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.5 IPS |
|
|
Machine Translation (F32)
|
100% |
312
5.74 IPS |
|
|
Machine Translation (F16)
|
100% |
240
4.42 IPS |
|
|
Machine Translation (I8)
|
99% |
306
5.62 IPS |
