iPhone 8
Geekbench ML Score
430
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 10 2025 08:14 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.7.1 |
| Model | iPhone 8 |
| Model ID | iPhone10,4 |
| Motherboard | D201AP |
| 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 | 1.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | Core ML |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
225
24.1 IPS |
|
|
Image Classification (F16)
|
100% |
232
24.9 IPS |
|
|
Image Classification (I8)
|
81% |
358
38.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
770
4.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
766
4.73 IPS |
|
|
Image Segmentation (I8)
|
89% |
655
4.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
631
2.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
639
2.59 IPS |
|
|
Pose Estimation (I8)
|
80% |
130
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
485
17.0 IPS |
|
|
Object Detection (F16)
|
100% |
591
20.8 IPS |
|
|
Object Detection (I8)
|
52% |
510
17.9 IPS |
|
|
Face Detection (F32)
|
100% |
750
8.62 IPS |
|
|
Face Detection (F16)
|
100% |
795
9.13 IPS |
|
|
Face Detection (I8)
|
75% |
486
5.59 IPS |
|
|
Text Classification (F32)
|
100% |
113
44.5 IPS |
|
|
Text Classification (F16)
|
100% |
112
44.2 IPS |
|
|
Machine Translation (F32)
|
100% |
745
114.8 IPS |
|
|
Machine Translation (F16)
|
100% |
739
113.9 IPS |
