iPhone X
Geekbench ML Score
580
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 25 2024 10:02 PM |
| Views | 2 |
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% |
205
38.3 IPS |
|
|
Image Classification (F16)
|
100% |
177
33.2 IPS |
|
|
Image Classification (I8)
|
99% |
151
28.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
159
2.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
167
2.79 IPS |
|
|
Image Segmentation (I8)
|
100% |
167
2.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
2241
2.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
2660
3.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
2664
3.23 IPS |
|
|
Object Detection (F32)
|
100% |
359
26.8 IPS |
|
|
Object Detection (F16)
|
100% |
286
21.3 IPS |
|
|
Object Detection (I8)
|
97% |
277
20.7 IPS |
|
|
Face Detection (F32)
|
100% |
912
10.8 IPS |
|
|
Face Detection (F16)
|
100% |
890
10.6 IPS |
|
|
Face Detection (I8)
|
99% |
995
11.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2629
20.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2863
22.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
2966
23.0 IPS |
|
|
Style Transfer (F32)
|
100% |
4289
5.64 IPS |
|
|
Style Transfer (F16)
|
100% |
5210
6.85 IPS |
|
|
Style Transfer (I8)
|
100% |
5475
7.20 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1106
39.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1202
42.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1103
39.4 IPS |
|
|
Text Classification (F32)
|
100% |
57
82.6 IPS |
|
|
Text Classification (F16)
|
100% |
117
167.7 IPS |
|
|
Text Classification (I8)
|
96% |
127
182.3 IPS |
|
|
Machine Translation (F32)
|
100% |
160
2.94 IPS |
|
|
Machine Translation (F16)
|
100% |
123
2.27 IPS |
|
|
Machine Translation (I8)
|
99% |
142
2.61 IPS |
