iPhone X
Geekbench ML Score
247
Core ML CPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | crypt3r |
| Upload Date | September 22 2025 01:53 PM |
| Views | 7 |
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% |
229
42.9 IPS |
|
|
Image Classification (F16)
|
100% |
207
38.8 IPS |
|
|
Image Classification (I8)
|
99% |
192
35.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
173
2.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
160
2.67 IPS |
|
|
Image Segmentation (I8)
|
100% |
137
2.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
713
0.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
558
0.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
299
0.36 IPS |
|
|
Object Detection (F32)
|
100% |
92
6.86 IPS |
|
|
Object Detection (F16)
|
100% |
90
6.76 IPS |
|
|
Object Detection (I8)
|
97% |
114
8.55 IPS |
|
|
Face Detection (F32)
|
100% |
267
3.18 IPS |
|
|
Face Detection (F16)
|
100% |
265
3.15 IPS |
|
|
Face Detection (I8)
|
99% |
282
3.35 IPS |
|
|
Depth Estimation (F32)
|
100% |
441
3.42 IPS |
|
|
Depth Estimation (F16)
|
100% |
312
2.42 IPS |
|
|
Depth Estimation (I8)
|
99% |
306
2.37 IPS |
|
|
Style Transfer (F32)
|
100% |
955
1.26 IPS |
|
|
Style Transfer (F16)
|
100% |
832
1.09 IPS |
|
|
Style Transfer (I8)
|
100% |
520
0.68 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
268
9.56 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
306
10.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
310
11.1 IPS |
|
|
Text Classification (F32)
|
100% |
99
143.0 IPS |
|
|
Text Classification (F16)
|
100% |
141
202.3 IPS |
|
|
Text Classification (I8)
|
96% |
152
218.7 IPS |
|
|
Machine Translation (F32)
|
100% |
233
4.29 IPS |
|
|
Machine Translation (F16)
|
100% |
179
3.29 IPS |
|
|
Machine Translation (I8)
|
99% |
206
3.80 IPS |
