iPhone X
Geekbench ML Score
436
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 29 2024 12:56 PM |
| 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% |
237
44.3 IPS |
|
|
Image Classification (F16)
|
100% |
220
41.2 IPS |
|
|
Image Classification (I8)
|
99% |
219
40.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
203
3.39 IPS |
|
|
Image Segmentation (F16)
|
100% |
210
3.51 IPS |
|
|
Image Segmentation (I8)
|
100% |
208
3.48 IPS |
|
|
Pose Estimation (F32)
|
100% |
1062
1.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
1042
1.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
1061
1.28 IPS |
|
|
Object Detection (F32)
|
100% |
259
19.3 IPS |
|
|
Object Detection (F16)
|
100% |
242
18.1 IPS |
|
|
Object Detection (I8)
|
97% |
263
19.7 IPS |
|
|
Face Detection (F32)
|
100% |
476
5.66 IPS |
|
|
Face Detection (F16)
|
100% |
469
5.58 IPS |
|
|
Face Detection (I8)
|
99% |
469
5.58 IPS |
|
|
Depth Estimation (F32)
|
100% |
626
4.85 IPS |
|
|
Depth Estimation (F16)
|
100% |
590
4.57 IPS |
|
|
Depth Estimation (I8)
|
99% |
583
4.52 IPS |
|
|
Style Transfer (F32)
|
100% |
1781
2.34 IPS |
|
|
Style Transfer (F16)
|
100% |
1826
2.40 IPS |
|
|
Style Transfer (I8)
|
100% |
1780
2.34 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
558
19.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
556
19.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
563
20.1 IPS |
|
|
Text Classification (F32)
|
100% |
251
360.2 IPS |
|
|
Text Classification (F16)
|
100% |
214
306.9 IPS |
|
|
Text Classification (I8)
|
96% |
222
318.9 IPS |
|
|
Machine Translation (F32)
|
100% |
333
6.14 IPS |
|
|
Machine Translation (F16)
|
100% |
269
4.94 IPS |
|
|
Machine Translation (I8)
|
99% |
330
6.07 IPS |
