iPhone X
Geekbench ML Score
590
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 03 2024 12:51 PM |
| Views | 1 |
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% |
192
35.9 IPS |
|
|
Image Classification (F16)
|
100% |
150
28.0 IPS |
|
|
Image Classification (I8)
|
99% |
150
28.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
157
2.62 IPS |
|
|
Image Segmentation (F16)
|
100% |
167
2.80 IPS |
|
|
Image Segmentation (I8)
|
100% |
168
2.81 IPS |
|
|
Pose Estimation (F32)
|
100% |
2318
2.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
2674
3.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
2699
3.27 IPS |
|
|
Object Detection (F32)
|
100% |
352
26.3 IPS |
|
|
Object Detection (F16)
|
100% |
242
18.0 IPS |
|
|
Object Detection (I8)
|
97% |
363
27.1 IPS |
|
|
Face Detection (F32)
|
100% |
935
11.1 IPS |
|
|
Face Detection (F16)
|
100% |
909
10.8 IPS |
|
|
Face Detection (I8)
|
99% |
948
11.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2316
18.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2492
19.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
2495
19.4 IPS |
|
|
Style Transfer (F32)
|
100% |
4234
5.57 IPS |
|
|
Style Transfer (F16)
|
100% |
4876
6.41 IPS |
|
|
Style Transfer (I8)
|
100% |
4732
6.22 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
990
35.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1085
38.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1115
39.8 IPS |
|
|
Text Classification (F32)
|
100% |
54
77.5 IPS |
|
|
Text Classification (F16)
|
100% |
141
202.3 IPS |
|
|
Text Classification (I8)
|
96% |
141
202.1 IPS |
|
|
Machine Translation (F32)
|
100% |
220
4.05 IPS |
|
|
Machine Translation (F16)
|
100% |
181
3.33 IPS |
|
|
Machine Translation (I8)
|
99% |
234
4.30 IPS |
