iPhone X
Geekbench ML Score
421
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 18 2025 06:58 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| Model | iPhone X |
| Model ID | iPhone10,3 |
| Motherboard | D22AP |
| 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% |
232
43.3 IPS |
|
|
Image Classification (F16)
|
100% |
216
40.4 IPS |
|
|
Image Classification (I8)
|
99% |
215
40.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.36 IPS |
|
|
Image Segmentation (I8)
|
100% |
203
3.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
1072
1.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
950
1.15 IPS |
|
|
Pose Estimation (I8)
|
100% |
1002
1.21 IPS |
|
|
Object Detection (F32)
|
100% |
245
18.3 IPS |
|
|
Object Detection (F16)
|
100% |
231
17.3 IPS |
|
|
Object Detection (I8)
|
97% |
250
18.7 IPS |
|
|
Face Detection (F32)
|
100% |
481
5.72 IPS |
|
|
Face Detection (F16)
|
100% |
473
5.62 IPS |
|
|
Face Detection (I8)
|
99% |
473
5.63 IPS |
|
|
Depth Estimation (F32)
|
100% |
625
4.84 IPS |
|
|
Depth Estimation (F16)
|
100% |
568
4.40 IPS |
|
|
Depth Estimation (I8)
|
99% |
539
4.18 IPS |
|
|
Style Transfer (F32)
|
100% |
1630
2.14 IPS |
|
|
Style Transfer (F16)
|
100% |
1627
2.14 IPS |
|
|
Style Transfer (I8)
|
100% |
1630
2.14 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
541
19.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
555
19.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
564
20.2 IPS |
|
|
Text Classification (F32)
|
100% |
253
363.7 IPS |
|
|
Text Classification (F16)
|
100% |
215
308.8 IPS |
|
|
Text Classification (I8)
|
96% |
218
313.7 IPS |
|
|
Machine Translation (F32)
|
100% |
305
5.61 IPS |
|
|
Machine Translation (F16)
|
100% |
261
4.79 IPS |
|
|
Machine Translation (I8)
|
99% |
304
5.60 IPS |
