iPhone X
Geekbench ML Score
590
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 02 2025 01:40 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| 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% |
198
37.1 IPS |
|
|
Image Classification (F16)
|
100% |
145
27.2 IPS |
|
|
Image Classification (I8)
|
99% |
146
27.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
1745
2.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
1984
2.40 IPS |
|
|
Pose Estimation (I8)
|
100% |
2027
2.45 IPS |
|
|
Object Detection (F32)
|
100% |
280
20.9 IPS |
|
|
Object Detection (F16)
|
100% |
241
18.0 IPS |
|
|
Object Detection (I8)
|
97% |
337
25.2 IPS |
|
|
Face Detection (F32)
|
100% |
917
10.9 IPS |
|
|
Face Detection (F16)
|
100% |
977
11.6 IPS |
|
|
Face Detection (I8)
|
99% |
979
11.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2149
16.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2587
20.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
2736
21.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4397
5.78 IPS |
|
|
Style Transfer (F16)
|
100% |
4564
6.00 IPS |
|
|
Style Transfer (I8)
|
100% |
4377
5.76 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1037
37.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
962
34.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1041
37.2 IPS |
|
|
Text Classification (F32)
|
100% |
52
74.3 IPS |
|
|
Text Classification (F16)
|
100% |
201
289.2 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.9 IPS |
|
|
Machine Translation (F32)
|
100% |
269
4.94 IPS |
|
|
Machine Translation (F16)
|
100% |
185
3.40 IPS |
|
|
Machine Translation (I8)
|
99% |
218
4.01 IPS |
