iPhone X
Geekbench ML Score
635
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 21 2024 02:08 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% |
176
32.9 IPS |
|
|
Image Classification (F16)
|
100% |
147
27.4 IPS |
|
|
Image Classification (I8)
|
99% |
144
26.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
2387
2.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
2674
3.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
2683
3.25 IPS |
|
|
Object Detection (F32)
|
100% |
343
25.6 IPS |
|
|
Object Detection (F16)
|
100% |
279
20.8 IPS |
|
|
Object Detection (I8)
|
97% |
320
23.9 IPS |
|
|
Face Detection (F32)
|
100% |
947
11.3 IPS |
|
|
Face Detection (F16)
|
100% |
944
11.2 IPS |
|
|
Face Detection (I8)
|
99% |
973
11.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2229
17.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2513
19.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
2519
19.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4544
5.98 IPS |
|
|
Style Transfer (F16)
|
100% |
5217
6.86 IPS |
|
|
Style Transfer (I8)
|
100% |
4754
6.25 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1107
39.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1158
41.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
976
34.8 IPS |
|
|
Text Classification (F32)
|
100% |
51
73.7 IPS |
|
|
Text Classification (F16)
|
100% |
199
286.6 IPS |
|
|
Text Classification (I8)
|
96% |
201
289.0 IPS |
|
|
Machine Translation (F32)
|
100% |
311
5.72 IPS |
|
|
Machine Translation (F16)
|
100% |
245
4.52 IPS |
|
|
Machine Translation (I8)
|
99% |
313
5.75 IPS |
