iPhone X
Geekbench ML Score
635
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 20 2025 08:03 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| 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% |
176
32.9 IPS |
|
|
Image Classification (F16)
|
100% |
147
27.5 IPS |
|
|
Image Classification (I8)
|
99% |
145
27.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.36 IPS |
|
|
Image Segmentation (I8)
|
100% |
202
3.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
2316
2.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
2744
3.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
2864
3.47 IPS |
|
|
Object Detection (F32)
|
100% |
325
24.3 IPS |
|
|
Object Detection (F16)
|
100% |
270
20.2 IPS |
|
|
Object Detection (I8)
|
97% |
303
22.6 IPS |
|
|
Face Detection (F32)
|
100% |
980
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
947
11.3 IPS |
|
|
Face Detection (I8)
|
99% |
970
11.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2257
17.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2534
19.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
2700
20.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4503
5.92 IPS |
|
|
Style Transfer (F16)
|
100% |
4884
6.42 IPS |
|
|
Style Transfer (I8)
|
100% |
5132
6.75 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
982
35.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1083
38.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1017
36.3 IPS |
|
|
Text Classification (F32)
|
100% |
52
74.2 IPS |
|
|
Text Classification (F16)
|
100% |
203
292.2 IPS |
|
|
Text Classification (I8)
|
96% |
201
288.6 IPS |
|
|
Machine Translation (F32)
|
100% |
317
5.83 IPS |
|
|
Machine Translation (F16)
|
100% |
249
4.58 IPS |
|
|
Machine Translation (I8)
|
99% |
317
5.83 IPS |
