iPhone X
Geekbench ML Score
443
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 14 2025 05:25 PM |
| Views | 6 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
240
44.9 IPS |
|
|
Image Classification (F16)
|
100% |
224
41.9 IPS |
|
|
Image Classification (I8)
|
99% |
223
41.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
210
3.51 IPS |
|
|
Image Segmentation (F16)
|
100% |
214
3.58 IPS |
|
|
Image Segmentation (I8)
|
100% |
214
3.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
1082
1.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
1037
1.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
1075
1.30 IPS |
|
|
Object Detection (F32)
|
100% |
263
19.6 IPS |
|
|
Object Detection (F16)
|
100% |
250
18.7 IPS |
|
|
Object Detection (I8)
|
97% |
269
20.1 IPS |
|
|
Face Detection (F32)
|
100% |
482
5.73 IPS |
|
|
Face Detection (F16)
|
100% |
476
5.66 IPS |
|
|
Face Detection (I8)
|
99% |
478
5.68 IPS |
|
|
Depth Estimation (F32)
|
100% |
646
5.01 IPS |
|
|
Depth Estimation (F16)
|
100% |
598
4.64 IPS |
|
|
Depth Estimation (I8)
|
99% |
599
4.64 IPS |
|
|
Style Transfer (F32)
|
100% |
1792
2.36 IPS |
|
|
Style Transfer (F16)
|
100% |
1810
2.38 IPS |
|
|
Style Transfer (I8)
|
100% |
1816
2.39 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
562
20.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
570
20.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
563
20.1 IPS |
|
|
Text Classification (F32)
|
100% |
258
371.2 IPS |
|
|
Text Classification (F16)
|
100% |
209
301.1 IPS |
|
|
Text Classification (I8)
|
96% |
224
321.3 IPS |
|
|
Machine Translation (F32)
|
100% |
341
6.28 IPS |
|
|
Machine Translation (F16)
|
100% |
282
5.18 IPS |
|
|
Machine Translation (I8)
|
99% |
340
6.26 IPS |
