iPhone X
Geekbench ML Score
383
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 03 2025 06:02 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.6.1 |
| 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% |
213
39.9 IPS |
|
|
Image Classification (F16)
|
100% |
201
37.6 IPS |
|
|
Image Classification (I8)
|
99% |
198
37.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
170
2.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
172
2.88 IPS |
|
|
Image Segmentation (I8)
|
100% |
179
2.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
934
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
950
1.15 IPS |
|
|
Pose Estimation (I8)
|
100% |
1002
1.21 IPS |
|
|
Object Detection (F32)
|
100% |
221
16.5 IPS |
|
|
Object Detection (F16)
|
100% |
200
14.9 IPS |
|
|
Object Detection (I8)
|
97% |
221
16.5 IPS |
|
|
Face Detection (F32)
|
100% |
392
4.67 IPS |
|
|
Face Detection (F16)
|
100% |
396
4.71 IPS |
|
|
Face Detection (I8)
|
99% |
427
5.07 IPS |
|
|
Depth Estimation (F32)
|
100% |
535
4.15 IPS |
|
|
Depth Estimation (F16)
|
100% |
502
3.89 IPS |
|
|
Depth Estimation (I8)
|
99% |
505
3.92 IPS |
|
|
Style Transfer (F32)
|
100% |
1451
1.91 IPS |
|
|
Style Transfer (F16)
|
100% |
1484
1.95 IPS |
|
|
Style Transfer (I8)
|
100% |
1445
1.90 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
530
18.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
537
19.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
536
19.1 IPS |
|
|
Text Classification (F32)
|
100% |
234
336.2 IPS |
|
|
Text Classification (F16)
|
100% |
234
335.8 IPS |
|
|
Text Classification (I8)
|
96% |
233
334.6 IPS |
|
|
Machine Translation (F32)
|
100% |
289
5.32 IPS |
|
|
Machine Translation (F16)
|
100% |
196
3.61 IPS |
|
|
Machine Translation (I8)
|
99% |
281
5.18 IPS |
