iPhone X
Geekbench ML Score
639
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 26 2025 08:24 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.12 |
| 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% |
179
33.6 IPS |
|
|
Image Classification (F16)
|
100% |
152
28.4 IPS |
|
|
Image Classification (I8)
|
99% |
152
28.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
187
3.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (I8)
|
100% |
201
3.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
2348
2.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
2786
3.37 IPS |
|
|
Pose Estimation (I8)
|
100% |
2728
3.30 IPS |
|
|
Object Detection (F32)
|
100% |
310
23.2 IPS |
|
|
Object Detection (F16)
|
100% |
289
21.6 IPS |
|
|
Object Detection (I8)
|
97% |
325
24.3 IPS |
|
|
Face Detection (F32)
|
100% |
873
10.4 IPS |
|
|
Face Detection (F16)
|
100% |
975
11.6 IPS |
|
|
Face Detection (I8)
|
99% |
992
11.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2330
18.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2762
21.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2550
19.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4566
6.01 IPS |
|
|
Style Transfer (F16)
|
100% |
4914
6.46 IPS |
|
|
Style Transfer (I8)
|
100% |
4339
5.71 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1131
40.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1200
42.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1044
37.3 IPS |
|
|
Text Classification (F32)
|
100% |
53
76.4 IPS |
|
|
Text Classification (F16)
|
100% |
198
285.2 IPS |
|
|
Text Classification (I8)
|
96% |
199
285.8 IPS |
|
|
Machine Translation (F32)
|
100% |
308
5.67 IPS |
|
|
Machine Translation (F16)
|
100% |
244
4.48 IPS |
|
|
Machine Translation (I8)
|
99% |
307
5.66 IPS |
