iPhone X
Geekbench ML Score
198
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 18 2025 05:22 PM |
| Views | 3 |
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% |
126
23.6 IPS |
|
|
Image Classification (F16)
|
100% |
117
22.0 IPS |
|
|
Image Classification (I8)
|
99% |
117
21.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
122
2.03 IPS |
|
|
Image Segmentation (F16)
|
100% |
139
2.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
138
2.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
545
0.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
545
0.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
550
0.67 IPS |
|
|
Object Detection (F32)
|
100% |
79
5.92 IPS |
|
|
Object Detection (F16)
|
100% |
74
5.53 IPS |
|
|
Object Detection (I8)
|
97% |
79
5.92 IPS |
|
|
Face Detection (F32)
|
100% |
258
3.07 IPS |
|
|
Face Detection (F16)
|
100% |
275
3.26 IPS |
|
|
Face Detection (I8)
|
99% |
278
3.30 IPS |
|
|
Depth Estimation (F32)
|
100% |
342
2.65 IPS |
|
|
Depth Estimation (F16)
|
100% |
293
2.28 IPS |
|
|
Depth Estimation (I8)
|
99% |
277
2.15 IPS |
|
|
Style Transfer (F32)
|
100% |
551
0.72 IPS |
|
|
Style Transfer (F16)
|
100% |
508
0.67 IPS |
|
|
Style Transfer (I8)
|
100% |
512
0.67 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
189
6.75 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
272
9.72 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
268
9.57 IPS |
|
|
Text Classification (F32)
|
100% |
75
107.7 IPS |
|
|
Text Classification (F16)
|
100% |
110
158.8 IPS |
|
|
Text Classification (I8)
|
96% |
111
158.9 IPS |
|
|
Machine Translation (F32)
|
100% |
188
3.45 IPS |
|
|
Machine Translation (F16)
|
100% |
144
2.65 IPS |
|
|
Machine Translation (I8)
|
99% |
107
1.97 IPS |
