iPhone 8
Geekbench ML Score
215
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | June 19 2025 09:43 AM |
| Views | 2 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
337
36.2 IPS |
|
|
Image Classification (F16)
|
100% |
295
31.6 IPS |
|
|
Image Classification (I8)
|
81% |
197
21.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
429
2.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
413
2.55 IPS |
|
|
Image Segmentation (I8)
|
89% |
543
3.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
113
0.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
78
0.32 IPS |
|
|
Pose Estimation (I8)
|
80% |
74
0.30 IPS |
|
|
Object Detection (F32)
|
100% |
186
6.54 IPS |
|
|
Object Detection (F16)
|
100% |
189
6.62 IPS |
|
|
Object Detection (I8)
|
52% |
169
5.92 IPS |
|
|
Face Detection (F32)
|
100% |
291
3.34 IPS |
|
|
Face Detection (F16)
|
100% |
230
2.64 IPS |
|
|
Face Detection (I8)
|
75% |
207
2.38 IPS |
|
|
Text Classification (F32)
|
100% |
136
53.7 IPS |
|
|
Text Classification (F16)
|
100% |
185
73.1 IPS |
|
|
Machine Translation (F32)
|
100% |
265
40.8 IPS |
|
|
Machine Translation (F16)
|
100% |
319
49.1 IPS |
