iPhone X
Geekbench ML Score
254
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 22 2025 06:46 PM |
| Views | 2 |
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% |
127
23.8 IPS |
|
|
Image Classification (F16)
|
100% |
105
19.6 IPS |
|
|
Image Classification (I8)
|
99% |
118
22.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
126
2.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
139
2.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
139
2.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
547
0.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
553
0.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
549
0.66 IPS |
|
|
Object Detection (F32)
|
100% |
145
10.9 IPS |
|
|
Object Detection (F16)
|
100% |
132
9.82 IPS |
|
|
Object Detection (I8)
|
97% |
166
12.4 IPS |
|
|
Face Detection (F32)
|
100% |
358
4.26 IPS |
|
|
Face Detection (F16)
|
100% |
353
4.20 IPS |
|
|
Face Detection (I8)
|
99% |
353
4.19 IPS |
|
|
Depth Estimation (F32)
|
100% |
389
3.02 IPS |
|
|
Depth Estimation (F16)
|
100% |
386
2.99 IPS |
|
|
Depth Estimation (I8)
|
99% |
372
2.88 IPS |
|
|
Style Transfer (F32)
|
100% |
990
1.30 IPS |
|
|
Style Transfer (F16)
|
100% |
958
1.26 IPS |
|
|
Style Transfer (I8)
|
100% |
957
1.26 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
319
11.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
312
11.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
305
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
110
158.1 IPS |
|
|
Text Classification (F16)
|
100% |
135
193.8 IPS |
|
|
Text Classification (I8)
|
96% |
138
197.7 IPS |
|
|
Machine Translation (F32)
|
100% |
215
3.96 IPS |
|
|
Machine Translation (F16)
|
100% |
139
2.56 IPS |
|
|
Machine Translation (I8)
|
99% |
178
3.27 IPS |
