iPhone X
Geekbench ML Score
524
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 02:06 PM |
| Views | 10 |
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% |
175
32.7 IPS |
|
|
Image Classification (F16)
|
100% |
152
28.4 IPS |
|
|
Image Classification (I8)
|
99% |
152
28.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
188
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.36 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
1392
1.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
1623
1.97 IPS |
|
|
Pose Estimation (I8)
|
100% |
1561
1.89 IPS |
|
|
Object Detection (F32)
|
100% |
322
24.0 IPS |
|
|
Object Detection (F16)
|
100% |
330
24.6 IPS |
|
|
Object Detection (I8)
|
97% |
272
20.3 IPS |
|
|
Face Detection (F32)
|
100% |
983
11.7 IPS |
|
|
Face Detection (F16)
|
100% |
990
11.8 IPS |
|
|
Face Detection (I8)
|
99% |
976
11.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2245
17.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2405
18.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
2202
17.1 IPS |
|
|
Style Transfer (F32)
|
100% |
2660
3.50 IPS |
|
|
Style Transfer (F16)
|
100% |
2972
3.91 IPS |
|
|
Style Transfer (I8)
|
100% |
2731
3.59 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
713
25.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
829
29.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
836
29.9 IPS |
|
|
Text Classification (F32)
|
100% |
58
83.4 IPS |
|
|
Text Classification (F16)
|
100% |
184
265.0 IPS |
|
|
Text Classification (I8)
|
96% |
180
259.1 IPS |
|
|
Machine Translation (F32)
|
100% |
209
3.84 IPS |
|
|
Machine Translation (F16)
|
100% |
154
2.83 IPS |
|
|
Machine Translation (I8)
|
99% |
166
3.06 IPS |
