iPhone X
Geekbench ML Score
403
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 21 2024 10:21 AM |
| Views | 1 |
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% |
235
43.9 IPS |
|
|
Image Classification (F16)
|
100% |
219
40.9 IPS |
|
|
Image Classification (I8)
|
99% |
216
40.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
205
3.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
212
3.53 IPS |
|
|
Image Segmentation (I8)
|
100% |
210
3.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
1052
1.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
672
0.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
669
0.81 IPS |
|
|
Object Detection (F32)
|
100% |
148
11.1 IPS |
|
|
Object Detection (F16)
|
100% |
174
13.0 IPS |
|
|
Object Detection (I8)
|
97% |
190
14.2 IPS |
|
|
Face Detection (F32)
|
100% |
443
5.27 IPS |
|
|
Face Detection (F16)
|
100% |
438
5.21 IPS |
|
|
Face Detection (I8)
|
99% |
469
5.58 IPS |
|
|
Depth Estimation (F32)
|
100% |
634
4.91 IPS |
|
|
Depth Estimation (F16)
|
100% |
571
4.43 IPS |
|
|
Depth Estimation (I8)
|
99% |
567
4.40 IPS |
|
|
Style Transfer (F32)
|
100% |
1691
2.22 IPS |
|
|
Style Transfer (F16)
|
100% |
1712
2.25 IPS |
|
|
Style Transfer (I8)
|
100% |
1716
2.26 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
560
20.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
567
20.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
574
20.5 IPS |
|
|
Text Classification (F32)
|
100% |
259
372.9 IPS |
|
|
Text Classification (F16)
|
100% |
216
310.2 IPS |
|
|
Text Classification (I8)
|
96% |
225
323.1 IPS |
|
|
Machine Translation (F32)
|
100% |
332
6.12 IPS |
|
|
Machine Translation (F16)
|
100% |
271
4.99 IPS |
|
|
Machine Translation (I8)
|
99% |
332
6.11 IPS |
