iPhone X
Geekbench ML Score
331
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 12 2024 02:58 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| 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% |
234
43.8 IPS |
|
|
Image Classification (F16)
|
100% |
215
40.2 IPS |
|
|
Image Classification (I8)
|
99% |
205
38.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
184
3.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
193
3.22 IPS |
|
|
Image Segmentation (I8)
|
100% |
189
3.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
926
1.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
902
1.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
924
1.12 IPS |
|
|
Object Detection (F32)
|
100% |
229
17.1 IPS |
|
|
Object Detection (F16)
|
100% |
225
16.8 IPS |
|
|
Object Detection (I8)
|
97% |
245
18.3 IPS |
|
|
Face Detection (F32)
|
100% |
431
5.12 IPS |
|
|
Face Detection (F16)
|
100% |
423
5.03 IPS |
|
|
Face Detection (I8)
|
99% |
425
5.06 IPS |
|
|
Depth Estimation (F32)
|
100% |
545
4.22 IPS |
|
|
Depth Estimation (F16)
|
100% |
451
3.50 IPS |
|
|
Depth Estimation (I8)
|
99% |
440
3.41 IPS |
|
|
Style Transfer (F32)
|
100% |
1304
1.72 IPS |
|
|
Style Transfer (F16)
|
100% |
993
1.31 IPS |
|
|
Style Transfer (I8)
|
100% |
954
1.26 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
280
10.00 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
305
10.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
304
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
99
141.9 IPS |
|
|
Text Classification (F16)
|
100% |
150
215.2 IPS |
|
|
Text Classification (I8)
|
96% |
151
217.6 IPS |
|
|
Machine Translation (F32)
|
100% |
241
4.43 IPS |
|
|
Machine Translation (F16)
|
100% |
186
3.42 IPS |
|
|
Machine Translation (I8)
|
99% |
217
3.99 IPS |
