iPhone X
Geekbench ML Score
287
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | December 19 2024 11:28 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.5 |
| 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% |
223
41.6 IPS |
|
|
Image Classification (F16)
|
100% |
155
29.0 IPS |
|
|
Image Classification (I8)
|
99% |
140
26.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
142
2.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
140
2.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
136
2.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
734
0.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
665
0.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
656
0.79 IPS |
|
|
Object Detection (F32)
|
100% |
125
9.35 IPS |
|
|
Object Detection (F16)
|
100% |
131
9.76 IPS |
|
|
Object Detection (I8)
|
97% |
145
10.8 IPS |
|
|
Face Detection (F32)
|
100% |
316
3.75 IPS |
|
|
Face Detection (F16)
|
100% |
355
4.22 IPS |
|
|
Face Detection (I8)
|
99% |
353
4.19 IPS |
|
|
Depth Estimation (F32)
|
100% |
462
3.59 IPS |
|
|
Depth Estimation (F16)
|
100% |
408
3.17 IPS |
|
|
Depth Estimation (I8)
|
99% |
427
3.31 IPS |
|
|
Style Transfer (F32)
|
100% |
1032
1.36 IPS |
|
|
Style Transfer (F16)
|
100% |
1041
1.37 IPS |
|
|
Style Transfer (I8)
|
100% |
950
1.25 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
317
11.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
314
11.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
331
11.8 IPS |
|
|
Text Classification (F32)
|
100% |
152
218.1 IPS |
|
|
Text Classification (F16)
|
100% |
151
216.9 IPS |
|
|
Text Classification (I8)
|
96% |
167
239.4 IPS |
|
|
Machine Translation (F32)
|
100% |
257
4.72 IPS |
|
|
Machine Translation (F16)
|
100% |
209
3.85 IPS |
|
|
Machine Translation (I8)
|
99% |
264
4.86 IPS |
