iPhone X
Geekbench ML Score
429
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 06:29 AM |
| Views | 1 |
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% |
240
45.0 IPS |
|
|
Image Classification (F16)
|
100% |
223
41.8 IPS |
|
|
Image Classification (I8)
|
99% |
221
41.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
206
3.44 IPS |
|
|
Image Segmentation (F16)
|
100% |
210
3.51 IPS |
|
|
Image Segmentation (I8)
|
100% |
208
3.48 IPS |
|
|
Pose Estimation (F32)
|
100% |
1027
1.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
1032
1.25 IPS |
|
|
Pose Estimation (I8)
|
100% |
1033
1.25 IPS |
|
|
Object Detection (F32)
|
100% |
237
17.7 IPS |
|
|
Object Detection (F16)
|
100% |
227
17.0 IPS |
|
|
Object Detection (I8)
|
97% |
254
19.0 IPS |
|
|
Face Detection (F32)
|
100% |
469
5.58 IPS |
|
|
Face Detection (F16)
|
100% |
474
5.63 IPS |
|
|
Face Detection (I8)
|
99% |
473
5.63 IPS |
|
|
Depth Estimation (F32)
|
100% |
639
4.95 IPS |
|
|
Depth Estimation (F16)
|
100% |
568
4.41 IPS |
|
|
Depth Estimation (I8)
|
99% |
545
4.23 IPS |
|
|
Style Transfer (F32)
|
100% |
1673
2.20 IPS |
|
|
Style Transfer (F16)
|
100% |
1699
2.24 IPS |
|
|
Style Transfer (I8)
|
100% |
1691
2.22 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
551
19.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
563
20.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
570
20.4 IPS |
|
|
Text Classification (F32)
|
100% |
250
360.0 IPS |
|
|
Text Classification (F16)
|
100% |
213
306.0 IPS |
|
|
Text Classification (I8)
|
96% |
221
318.1 IPS |
|
|
Machine Translation (F32)
|
100% |
325
5.97 IPS |
|
|
Machine Translation (F16)
|
100% |
269
4.96 IPS |
|
|
Machine Translation (I8)
|
99% |
328
6.04 IPS |
