iPhone X
Geekbench ML Score
435
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | August 19 2025 09:16 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.3 |
| 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 |
| 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 | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
232
24.8 IPS |
|
|
Image Classification (F16)
|
100% |
232
24.8 IPS |
|
|
Image Classification (I8)
|
81% |
359
38.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
727
4.49 IPS |
|
|
Image Segmentation (F16)
|
100% |
743
4.59 IPS |
|
|
Image Segmentation (I8)
|
89% |
662
4.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
696
2.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
701
2.84 IPS |
|
|
Pose Estimation (I8)
|
80% |
132
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
451
15.8 IPS |
|
|
Object Detection (F16)
|
100% |
648
22.7 IPS |
|
|
Object Detection (I8)
|
52% |
512
18.0 IPS |
|
|
Face Detection (F32)
|
100% |
691
7.94 IPS |
|
|
Face Detection (F16)
|
100% |
771
8.86 IPS |
|
|
Face Detection (I8)
|
75% |
491
5.64 IPS |
|
|
Text Classification (F32)
|
100% |
115
45.6 IPS |
|
|
Text Classification (F16)
|
100% |
122
48.2 IPS |
|
|
Machine Translation (F32)
|
100% |
754
116.1 IPS |
|
|
Machine Translation (F16)
|
100% |
745
114.9 IPS |
