iPhone X
Geekbench ML Score
638
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 14 2025 05:41 PM |
| Views | 4 |
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% |
179
33.6 IPS |
|
|
Image Classification (F16)
|
100% |
143
26.8 IPS |
|
|
Image Classification (I8)
|
99% |
145
27.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
189
3.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
201
3.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
2381
2.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
2701
3.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
2681
3.25 IPS |
|
|
Object Detection (F32)
|
100% |
337
25.2 IPS |
|
|
Object Detection (F16)
|
100% |
292
21.8 IPS |
|
|
Object Detection (I8)
|
97% |
274
20.5 IPS |
|
|
Face Detection (F32)
|
100% |
1031
12.3 IPS |
|
|
Face Detection (F16)
|
100% |
927
11.0 IPS |
|
|
Face Detection (I8)
|
99% |
965
11.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2234
17.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2524
19.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
2473
19.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4468
5.88 IPS |
|
|
Style Transfer (F16)
|
100% |
4754
6.25 IPS |
|
|
Style Transfer (I8)
|
100% |
5209
6.85 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1230
43.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1012
36.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1156
41.3 IPS |
|
|
Text Classification (F32)
|
100% |
50
72.6 IPS |
|
|
Text Classification (F16)
|
100% |
200
287.5 IPS |
|
|
Text Classification (I8)
|
96% |
204
292.7 IPS |
|
|
Machine Translation (F32)
|
100% |
324
5.96 IPS |
|
|
Machine Translation (F16)
|
100% |
254
4.68 IPS |
|
|
Machine Translation (I8)
|
99% |
323
5.94 IPS |
