iPhone X
Geekbench ML Score
234
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 18 2024 10:17 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.10 |
| Model | iPhone X |
| Model ID | iPhone10,3 |
| Motherboard | D22AP |
| 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% |
177
33.0 IPS |
|
|
Image Classification (F16)
|
100% |
134
25.1 IPS |
|
|
Image Classification (I8)
|
99% |
119
22.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
120
2.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
139
2.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
139
2.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
665
0.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
657
0.80 IPS |
|
|
Pose Estimation (I8)
|
100% |
578
0.70 IPS |
|
|
Object Detection (F32)
|
100% |
124
9.27 IPS |
|
|
Object Detection (F16)
|
100% |
129
9.63 IPS |
|
|
Object Detection (I8)
|
97% |
143
10.7 IPS |
|
|
Face Detection (F32)
|
100% |
289
3.43 IPS |
|
|
Face Detection (F16)
|
100% |
342
4.07 IPS |
|
|
Face Detection (I8)
|
99% |
335
3.98 IPS |
|
|
Depth Estimation (F32)
|
100% |
439
3.41 IPS |
|
|
Depth Estimation (F16)
|
100% |
317
2.46 IPS |
|
|
Depth Estimation (I8)
|
99% |
317
2.46 IPS |
|
|
Style Transfer (F32)
|
100% |
1018
1.34 IPS |
|
|
Style Transfer (F16)
|
100% |
910
1.20 IPS |
|
|
Style Transfer (I8)
|
100% |
905
1.19 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
183
6.55 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
257
9.18 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
186
6.63 IPS |
|
|
Text Classification (F32)
|
100% |
63
90.6 IPS |
|
|
Text Classification (F16)
|
100% |
85
121.6 IPS |
|
|
Text Classification (I8)
|
96% |
95
136.4 IPS |
|
|
Machine Translation (F32)
|
100% |
167
3.08 IPS |
|
|
Machine Translation (F16)
|
100% |
171
3.14 IPS |
|
|
Machine Translation (I8)
|
99% |
224
4.13 IPS |
