iPhone X
Geekbench ML Score
612
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 10 2025 12:59 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.11 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
181
33.9 IPS |
|
|
Image Classification (F16)
|
100% |
144
26.9 IPS |
|
|
Image Classification (I8)
|
99% |
143
26.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
200
3.34 IPS |
|
|
Image Segmentation (I8)
|
100% |
201
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
2293
2.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
2617
3.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
2571
3.11 IPS |
|
|
Object Detection (F32)
|
100% |
299
22.3 IPS |
|
|
Object Detection (F16)
|
100% |
300
22.4 IPS |
|
|
Object Detection (I8)
|
97% |
295
22.1 IPS |
|
|
Face Detection (F32)
|
100% |
1033
12.3 IPS |
|
|
Face Detection (F16)
|
100% |
990
11.8 IPS |
|
|
Face Detection (I8)
|
99% |
914
10.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2294
17.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2535
19.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
2441
18.9 IPS |
|
|
Style Transfer (F32)
|
100% |
4454
5.86 IPS |
|
|
Style Transfer (F16)
|
100% |
4848
6.38 IPS |
|
|
Style Transfer (I8)
|
100% |
4932
6.49 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
987
35.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1074
38.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
936
33.4 IPS |
|
|
Text Classification (F32)
|
100% |
51
73.2 IPS |
|
|
Text Classification (F16)
|
100% |
200
286.8 IPS |
|
|
Text Classification (I8)
|
96% |
202
289.7 IPS |
|
|
Machine Translation (F32)
|
100% |
277
5.10 IPS |
|
|
Machine Translation (F16)
|
100% |
186
3.43 IPS |
|
|
Machine Translation (I8)
|
99% |
241
4.43 IPS |
