iPhone X
Geekbench ML Score
244
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | April 30 2025 05:47 PM |
| Views | 1 |
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% |
134
25.0 IPS |
|
|
Image Classification (F16)
|
100% |
138
25.7 IPS |
|
|
Image Classification (I8)
|
99% |
131
24.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
141
2.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
139
2.33 IPS |
|
|
Image Segmentation (I8)
|
100% |
139
2.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
544
0.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
545
0.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
547
0.66 IPS |
|
|
Object Detection (F32)
|
100% |
143
10.7 IPS |
|
|
Object Detection (F16)
|
100% |
138
10.3 IPS |
|
|
Object Detection (I8)
|
97% |
161
12.0 IPS |
|
|
Face Detection (F32)
|
100% |
357
4.25 IPS |
|
|
Face Detection (F16)
|
100% |
289
3.43 IPS |
|
|
Face Detection (I8)
|
99% |
290
3.44 IPS |
|
|
Depth Estimation (F32)
|
100% |
370
2.87 IPS |
|
|
Depth Estimation (F16)
|
100% |
319
2.47 IPS |
|
|
Depth Estimation (I8)
|
99% |
318
2.46 IPS |
|
|
Style Transfer (F32)
|
100% |
960
1.26 IPS |
|
|
Style Transfer (F16)
|
100% |
782
1.03 IPS |
|
|
Style Transfer (I8)
|
100% |
880
1.16 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
251
8.96 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
255
9.11 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
297
10.6 IPS |
|
|
Text Classification (F32)
|
100% |
100
143.2 IPS |
|
|
Text Classification (F16)
|
100% |
111
159.1 IPS |
|
|
Text Classification (I8)
|
96% |
112
161.1 IPS |
|
|
Machine Translation (F32)
|
100% |
203
3.74 IPS |
|
|
Machine Translation (F16)
|
100% |
176
3.24 IPS |
|
|
Machine Translation (I8)
|
99% |
207
3.82 IPS |
