iPhone X
Geekbench ML Score
295
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 02 2024 02:49 PM |
| Views | 2 |
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% |
231
43.3 IPS |
|
|
Image Classification (F16)
|
100% |
214
40.1 IPS |
|
|
Image Classification (I8)
|
99% |
204
38.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
144
2.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
162
2.71 IPS |
|
|
Image Segmentation (I8)
|
100% |
158
2.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
868
1.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
693
0.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
653
0.79 IPS |
|
|
Object Detection (F32)
|
100% |
144
10.7 IPS |
|
|
Object Detection (F16)
|
100% |
130
9.69 IPS |
|
|
Object Detection (I8)
|
97% |
157
11.7 IPS |
|
|
Face Detection (F32)
|
100% |
307
3.66 IPS |
|
|
Face Detection (F16)
|
100% |
349
4.15 IPS |
|
|
Face Detection (I8)
|
99% |
352
4.19 IPS |
|
|
Depth Estimation (F32)
|
100% |
460
3.57 IPS |
|
|
Depth Estimation (F16)
|
100% |
426
3.30 IPS |
|
|
Depth Estimation (I8)
|
99% |
425
3.29 IPS |
|
|
Style Transfer (F32)
|
100% |
1101
1.45 IPS |
|
|
Style Transfer (F16)
|
100% |
1007
1.32 IPS |
|
|
Style Transfer (I8)
|
100% |
901
1.18 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
274
9.80 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
313
11.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
314
11.2 IPS |
|
|
Text Classification (F32)
|
100% |
154
220.9 IPS |
|
|
Text Classification (F16)
|
100% |
152
218.3 IPS |
|
|
Text Classification (I8)
|
96% |
157
225.0 IPS |
|
|
Machine Translation (F32)
|
100% |
240
4.42 IPS |
|
|
Machine Translation (F16)
|
100% |
176
3.24 IPS |
|
|
Machine Translation (I8)
|
99% |
239
4.40 IPS |
