iPhone X
Geekbench ML Score
430
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | iJACguy |
| Upload Date | June 07 2025 04:45 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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% |
221
41.3 IPS |
|
|
Image Classification (I8)
|
99% |
219
40.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
207
3.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
213
3.55 IPS |
|
|
Image Segmentation (I8)
|
100% |
209
3.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
1105
1.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
1073
1.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
946
1.15 IPS |
|
|
Object Detection (F32)
|
100% |
228
17.0 IPS |
|
|
Object Detection (F16)
|
100% |
217
16.2 IPS |
|
|
Object Detection (I8)
|
97% |
248
18.5 IPS |
|
|
Face Detection (F32)
|
100% |
479
5.70 IPS |
|
|
Face Detection (F16)
|
100% |
472
5.61 IPS |
|
|
Face Detection (I8)
|
99% |
475
5.64 IPS |
|
|
Depth Estimation (F32)
|
100% |
635
4.93 IPS |
|
|
Depth Estimation (F16)
|
100% |
575
4.46 IPS |
|
|
Depth Estimation (I8)
|
99% |
567
4.40 IPS |
|
|
Style Transfer (F32)
|
100% |
1735
2.28 IPS |
|
|
Style Transfer (F16)
|
100% |
1717
2.26 IPS |
|
|
Style Transfer (I8)
|
100% |
1690
2.22 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
559
19.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
576
20.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
582
20.8 IPS |
|
|
Text Classification (F32)
|
100% |
249
358.2 IPS |
|
|
Text Classification (F16)
|
100% |
217
312.4 IPS |
|
|
Text Classification (I8)
|
96% |
222
318.5 IPS |
|
|
Machine Translation (F32)
|
100% |
339
6.23 IPS |
|
|
Machine Translation (F16)
|
100% |
273
5.01 IPS |
|
|
Machine Translation (I8)
|
99% |
318
5.84 IPS |
