iPhone X
Geekbench ML Score
349
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 15 2024 07:18 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.7 |
| 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% |
224
42.0 IPS |
|
|
Image Classification (F16)
|
100% |
209
39.1 IPS |
|
|
Image Classification (I8)
|
99% |
205
38.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
192
3.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
185
3.09 IPS |
|
|
Image Segmentation (I8)
|
100% |
167
2.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
885
1.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
777
0.94 IPS |
|
|
Pose Estimation (I8)
|
100% |
671
0.81 IPS |
|
|
Object Detection (F32)
|
100% |
143
10.7 IPS |
|
|
Object Detection (F16)
|
100% |
153
11.4 IPS |
|
|
Object Detection (I8)
|
97% |
186
13.9 IPS |
|
|
Face Detection (F32)
|
100% |
362
4.31 IPS |
|
|
Face Detection (F16)
|
100% |
350
4.16 IPS |
|
|
Face Detection (I8)
|
99% |
349
4.16 IPS |
|
|
Depth Estimation (F32)
|
100% |
465
3.60 IPS |
|
|
Depth Estimation (F16)
|
100% |
428
3.32 IPS |
|
|
Depth Estimation (I8)
|
99% |
430
3.33 IPS |
|
|
Style Transfer (F32)
|
100% |
1362
1.79 IPS |
|
|
Style Transfer (F16)
|
100% |
1406
1.85 IPS |
|
|
Style Transfer (I8)
|
100% |
1406
1.85 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
423
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
509
18.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
510
18.2 IPS |
|
|
Text Classification (F32)
|
100% |
204
293.9 IPS |
|
|
Text Classification (F16)
|
100% |
214
307.1 IPS |
|
|
Text Classification (I8)
|
96% |
213
305.7 IPS |
|
|
Machine Translation (F32)
|
100% |
304
5.59 IPS |
|
|
Machine Translation (F16)
|
100% |
240
4.43 IPS |
|
|
Machine Translation (I8)
|
99% |
255
4.69 IPS |
