iPhone X
Geekbench ML Score
592
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 10:20 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.12 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
183
34.2 IPS |
|
|
Image Classification (F16)
|
100% |
145
27.2 IPS |
|
|
Image Classification (I8)
|
99% |
148
27.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.35 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
1373
1.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
1522
1.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
1453
1.76 IPS |
|
|
Object Detection (F32)
|
100% |
351
26.2 IPS |
|
|
Object Detection (F16)
|
100% |
280
20.9 IPS |
|
|
Object Detection (I8)
|
97% |
389
29.0 IPS |
|
|
Face Detection (F32)
|
100% |
1047
12.4 IPS |
|
|
Face Detection (F16)
|
100% |
898
10.7 IPS |
|
|
Face Detection (I8)
|
99% |
979
11.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2114
16.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2323
18.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
2368
18.4 IPS |
|
|
Style Transfer (F32)
|
100% |
4053
5.33 IPS |
|
|
Style Transfer (F16)
|
100% |
4492
5.91 IPS |
|
|
Style Transfer (I8)
|
100% |
4808
6.32 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1162
41.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1079
38.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1089
38.9 IPS |
|
|
Text Classification (F32)
|
100% |
52
74.5 IPS |
|
|
Text Classification (F16)
|
100% |
200
287.5 IPS |
|
|
Text Classification (I8)
|
96% |
197
283.8 IPS |
|
|
Machine Translation (F32)
|
100% |
287
5.28 IPS |
|
|
Machine Translation (F16)
|
100% |
216
3.98 IPS |
|
|
Machine Translation (I8)
|
99% |
274
5.05 IPS |
