iPhone X
Geekbench ML Score
648
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 29 2025 01:32 AM |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
176
32.9 IPS |
|
|
Image Classification (F16)
|
100% |
168
31.5 IPS |
|
|
Image Classification (I8)
|
99% |
158
29.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
198
3.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
2384
2.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
2859
3.46 IPS |
|
|
Pose Estimation (I8)
|
100% |
2742
3.32 IPS |
|
|
Object Detection (F32)
|
100% |
270
20.2 IPS |
|
|
Object Detection (F16)
|
100% |
265
19.8 IPS |
|
|
Object Detection (I8)
|
97% |
282
21.1 IPS |
|
|
Face Detection (F32)
|
100% |
936
11.1 IPS |
|
|
Face Detection (F16)
|
100% |
938
11.2 IPS |
|
|
Face Detection (I8)
|
99% |
1056
12.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2472
19.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2671
20.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
2746
21.3 IPS |
|
|
Style Transfer (F32)
|
100% |
4923
6.48 IPS |
|
|
Style Transfer (F16)
|
100% |
5727
7.53 IPS |
|
|
Style Transfer (I8)
|
100% |
4766
6.27 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1012
36.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1382
49.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1392
49.7 IPS |
|
|
Text Classification (F32)
|
100% |
57
81.7 IPS |
|
|
Text Classification (F16)
|
100% |
185
266.1 IPS |
|
|
Text Classification (I8)
|
96% |
170
244.6 IPS |
|
|
Machine Translation (F32)
|
100% |
301
5.53 IPS |
|
|
Machine Translation (F16)
|
100% |
242
4.44 IPS |
|
|
Machine Translation (I8)
|
99% |
313
5.75 IPS |
