iPhone X
Geekbench ML Score
268
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 24 2025 05:20 PM |
| Views | 7 |
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% |
142
26.5 IPS |
|
|
Image Classification (F16)
|
100% |
139
26.1 IPS |
|
|
Image Classification (I8)
|
99% |
140
26.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
141
2.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
139
2.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
140
2.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
544
0.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
545
0.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
545
0.66 IPS |
|
|
Object Detection (F32)
|
100% |
145
10.8 IPS |
|
|
Object Detection (F16)
|
100% |
132
9.82 IPS |
|
|
Object Detection (I8)
|
97% |
163
12.2 IPS |
|
|
Face Detection (F32)
|
100% |
352
4.19 IPS |
|
|
Face Detection (F16)
|
100% |
313
3.72 IPS |
|
|
Face Detection (I8)
|
99% |
354
4.21 IPS |
|
|
Depth Estimation (F32)
|
100% |
386
3.00 IPS |
|
|
Depth Estimation (F16)
|
100% |
377
2.93 IPS |
|
|
Depth Estimation (I8)
|
99% |
367
2.85 IPS |
|
|
Style Transfer (F32)
|
100% |
928
1.22 IPS |
|
|
Style Transfer (F16)
|
100% |
945
1.24 IPS |
|
|
Style Transfer (I8)
|
100% |
942
1.24 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
320
11.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
315
11.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
316
11.3 IPS |
|
|
Text Classification (F32)
|
100% |
143
205.0 IPS |
|
|
Text Classification (F16)
|
100% |
147
211.8 IPS |
|
|
Text Classification (I8)
|
96% |
142
203.8 IPS |
|
|
Machine Translation (F32)
|
100% |
242
4.46 IPS |
|
|
Machine Translation (F16)
|
100% |
189
3.47 IPS |
|
|
Machine Translation (I8)
|
99% |
246
4.52 IPS |
