iPhone X
Geekbench ML Score
641
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | June 07 2025 05:17 AM |
| Views | 4 |
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
33.0 IPS |
|
|
Image Classification (F16)
|
100% |
154
28.8 IPS |
|
|
Image Classification (I8)
|
99% |
155
29.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
189
3.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.36 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
2327
2.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
2729
3.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
2685
3.25 IPS |
|
|
Object Detection (F32)
|
100% |
318
23.7 IPS |
|
|
Object Detection (F16)
|
100% |
287
21.4 IPS |
|
|
Object Detection (I8)
|
97% |
336
25.0 IPS |
|
|
Face Detection (F32)
|
100% |
938
11.2 IPS |
|
|
Face Detection (F16)
|
100% |
986
11.7 IPS |
|
|
Face Detection (I8)
|
99% |
961
11.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2220
17.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2743
21.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
2506
19.4 IPS |
|
|
Style Transfer (F32)
|
100% |
4406
5.80 IPS |
|
|
Style Transfer (F16)
|
100% |
5463
7.19 IPS |
|
|
Style Transfer (I8)
|
100% |
4891
6.43 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1031
36.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1114
39.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1045
37.3 IPS |
|
|
Text Classification (F32)
|
100% |
52
74.6 IPS |
|
|
Text Classification (F16)
|
100% |
201
288.9 IPS |
|
|
Text Classification (I8)
|
96% |
200
287.7 IPS |
|
|
Machine Translation (F32)
|
100% |
320
5.88 IPS |
|
|
Machine Translation (F16)
|
100% |
247
4.55 IPS |
|
|
Machine Translation (I8)
|
99% |
318
5.85 IPS |
