iPhone X
Geekbench ML Score
409
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 22 2024 11:28 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.1.1 |
| 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% |
236
44.2 IPS |
|
|
Image Classification (F16)
|
100% |
214
40.1 IPS |
|
|
Image Classification (I8)
|
99% |
215
40.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
201
3.36 IPS |
|
|
Image Segmentation (F16)
|
100% |
204
3.41 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
940
1.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
862
1.04 IPS |
|
|
Pose Estimation (I8)
|
100% |
861
1.04 IPS |
|
|
Object Detection (F32)
|
100% |
212
15.8 IPS |
|
|
Object Detection (F16)
|
100% |
215
16.0 IPS |
|
|
Object Detection (I8)
|
97% |
234
17.5 IPS |
|
|
Face Detection (F32)
|
100% |
447
5.31 IPS |
|
|
Face Detection (F16)
|
100% |
460
5.47 IPS |
|
|
Face Detection (I8)
|
99% |
436
5.19 IPS |
|
|
Depth Estimation (F32)
|
100% |
616
4.78 IPS |
|
|
Depth Estimation (F16)
|
100% |
567
4.40 IPS |
|
|
Depth Estimation (I8)
|
99% |
556
4.31 IPS |
|
|
Style Transfer (F32)
|
100% |
1642
2.16 IPS |
|
|
Style Transfer (F16)
|
100% |
1665
2.19 IPS |
|
|
Style Transfer (I8)
|
100% |
1661
2.19 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
546
19.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
557
19.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
562
20.1 IPS |
|
|
Text Classification (F32)
|
100% |
257
369.2 IPS |
|
|
Text Classification (F16)
|
100% |
216
310.3 IPS |
|
|
Text Classification (I8)
|
96% |
219
315.2 IPS |
|
|
Machine Translation (F32)
|
100% |
332
6.11 IPS |
|
|
Machine Translation (F16)
|
100% |
236
4.34 IPS |
|
|
Machine Translation (I8)
|
99% |
268
4.93 IPS |
