iPhone 8
Geekbench ML Score
313
TensorFlow Lite Core ML Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 19 2025 09:43 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.1 |
| 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% |
392
42.0 IPS |
|
|
Image Classification (F16)
|
100% |
374
40.0 IPS |
|
|
Image Classification (I8)
|
81% |
210
22.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
677
4.18 IPS |
|
|
Image Segmentation (F16)
|
100% |
556
3.43 IPS |
|
|
Image Segmentation (I8)
|
89% |
308
1.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
540
2.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
528
2.14 IPS |
|
|
Pose Estimation (I8)
|
80% |
25
0.10 IPS |
|
|
Object Detection (F32)
|
100% |
522
18.3 IPS |
|
|
Object Detection (F16)
|
100% |
472
16.6 IPS |
|
|
Object Detection (I8)
|
52% |
107
3.75 IPS |
|
|
Face Detection (F32)
|
100% |
792
9.10 IPS |
|
|
Face Detection (F16)
|
100% |
758
8.71 IPS |
|
|
Face Detection (I8)
|
75% |
154
1.76 IPS |
|
|
Text Classification (F32)
|
100% |
127
50.1 IPS |
|
|
Text Classification (F16)
|
100% |
117
46.2 IPS |
|
|
Machine Translation (F32)
|
100% |
468
72.1 IPS |
|
|
Machine Translation (F16)
|
100% |
612
94.4 IPS |
