iPhone X
Geekbench ML Score
257
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | February 18 2025 07:33 PM |
| Views | 5 |
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% |
102
19.0 IPS |
|
|
Image Classification (F16)
|
100% |
104
19.5 IPS |
|
|
Image Classification (I8)
|
99% |
117
21.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
125
2.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
139
2.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
137
2.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
543
0.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
546
0.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
545
0.66 IPS |
|
|
Object Detection (F32)
|
100% |
145
10.8 IPS |
|
|
Object Detection (F16)
|
100% |
131
9.76 IPS |
|
|
Object Detection (I8)
|
97% |
147
10.9 IPS |
|
|
Face Detection (F32)
|
100% |
347
4.12 IPS |
|
|
Face Detection (F16)
|
100% |
351
4.17 IPS |
|
|
Face Detection (I8)
|
99% |
351
4.18 IPS |
|
|
Depth Estimation (F32)
|
100% |
390
3.03 IPS |
|
|
Depth Estimation (F16)
|
100% |
377
2.93 IPS |
|
|
Depth Estimation (I8)
|
99% |
372
2.89 IPS |
|
|
Style Transfer (F32)
|
100% |
970
1.28 IPS |
|
|
Style Transfer (F16)
|
100% |
966
1.27 IPS |
|
|
Style Transfer (I8)
|
100% |
968
1.27 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
377
13.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
377
13.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
330
11.8 IPS |
|
|
Text Classification (F32)
|
100% |
92
132.4 IPS |
|
|
Text Classification (F16)
|
100% |
121
173.3 IPS |
|
|
Text Classification (I8)
|
96% |
118
170.0 IPS |
|
|
Machine Translation (F32)
|
100% |
251
4.62 IPS |
|
|
Machine Translation (F16)
|
100% |
198
3.65 IPS |
|
|
Machine Translation (I8)
|
99% |
254
4.67 IPS |
