iPhone X
Geekbench ML Score
269
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | March 22 2025 06:42 PM |
| Views | 1 |
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% |
124
23.1 IPS |
|
|
Image Classification (F16)
|
100% |
123
23.0 IPS |
|
|
Image Classification (I8)
|
99% |
117
21.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
134
2.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
134
2.24 IPS |
|
|
Image Segmentation (I8)
|
100% |
138
2.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
542
0.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
545
0.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
541
0.66 IPS |
|
|
Object Detection (F32)
|
100% |
145
10.8 IPS |
|
|
Object Detection (F16)
|
100% |
131
9.78 IPS |
|
|
Object Detection (I8)
|
97% |
156
11.7 IPS |
|
|
Face Detection (F32)
|
100% |
350
4.16 IPS |
|
|
Face Detection (F16)
|
100% |
355
4.22 IPS |
|
|
Face Detection (I8)
|
99% |
354
4.21 IPS |
|
|
Depth Estimation (F32)
|
100% |
389
3.02 IPS |
|
|
Depth Estimation (F16)
|
100% |
379
2.94 IPS |
|
|
Depth Estimation (I8)
|
99% |
370
2.87 IPS |
|
|
Style Transfer (F32)
|
100% |
988
1.30 IPS |
|
|
Style Transfer (F16)
|
100% |
953
1.25 IPS |
|
|
Style Transfer (I8)
|
100% |
934
1.23 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
319
11.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
375
13.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
381
13.6 IPS |
|
|
Text Classification (F32)
|
100% |
144
207.0 IPS |
|
|
Text Classification (F16)
|
100% |
150
215.2 IPS |
|
|
Text Classification (I8)
|
96% |
150
215.4 IPS |
|
|
Machine Translation (F32)
|
100% |
254
4.67 IPS |
|
|
Machine Translation (F16)
|
100% |
189
3.48 IPS |
|
|
Machine Translation (I8)
|
99% |
253
4.65 IPS |
