iPhone X
Geekbench ML Score
428
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | October 16 2025 01:05 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.12 |
| 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% |
238
44.6 IPS |
|
|
Image Classification (F16)
|
100% |
222
41.6 IPS |
|
|
Image Classification (I8)
|
99% |
223
41.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
204
3.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
206
3.45 IPS |
|
|
Image Segmentation (I8)
|
100% |
202
3.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
973
1.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
986
1.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
985
1.19 IPS |
|
|
Object Detection (F32)
|
100% |
255
19.0 IPS |
|
|
Object Detection (F16)
|
100% |
243
18.2 IPS |
|
|
Object Detection (I8)
|
97% |
262
19.6 IPS |
|
|
Face Detection (F32)
|
100% |
484
5.75 IPS |
|
|
Face Detection (F16)
|
100% |
476
5.66 IPS |
|
|
Face Detection (I8)
|
99% |
477
5.67 IPS |
|
|
Depth Estimation (F32)
|
100% |
621
4.82 IPS |
|
|
Depth Estimation (F16)
|
100% |
571
4.43 IPS |
|
|
Depth Estimation (I8)
|
99% |
537
4.17 IPS |
|
|
Style Transfer (F32)
|
100% |
1641
2.16 IPS |
|
|
Style Transfer (F16)
|
100% |
1648
2.17 IPS |
|
|
Style Transfer (I8)
|
100% |
1649
2.17 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
542
19.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
553
19.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
565
20.2 IPS |
|
|
Text Classification (F32)
|
100% |
257
369.7 IPS |
|
|
Text Classification (F16)
|
100% |
220
315.7 IPS |
|
|
Text Classification (I8)
|
96% |
223
320.9 IPS |
|
|
Machine Translation (F32)
|
100% |
331
6.10 IPS |
|
|
Machine Translation (F16)
|
100% |
271
4.98 IPS |
|
|
Machine Translation (I8)
|
99% |
338
6.23 IPS |
