iPhone 8 Plus
Geekbench ML Score
300
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | November 05 2022 02:32 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,2 |
| Motherboard | D21AP |
| 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 | 2.90 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
221
23.7 IPS |
|
|
Image Classification (F16)
|
100% |
226
24.2 IPS |
|
|
Image Classification (I8)
|
81% |
286
30.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
368
2.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
367
2.27 IPS |
|
|
Image Segmentation (I8)
|
89% |
618
3.81 IPS |
|
|
Pose Estimation (F32)
|
100% |
81
0.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
82
0.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
116
0.47 IPS |
|
|
Object Detection (F32)
|
100% |
329
11.5 IPS |
|
|
Object Detection (F16)
|
100% |
330
11.6 IPS |
|
|
Object Detection (I8)
|
52% |
444
15.6 IPS |
|
|
Face Detection (F32)
|
100% |
414
4.75 IPS |
|
|
Face Detection (F16)
|
100% |
415
4.76 IPS |
|
|
Face Detection (I8)
|
75% |
425
4.88 IPS |
|
|
Text Classification (F32)
|
100% |
428
169.1 IPS |
|
|
Text Classification (F16)
|
100% |
414
163.9 IPS |
|
|
Machine Translation (F32)
|
100% |
464
71.5 IPS |
|
|
Machine Translation (F16)
|
100% |
459
70.8 IPS |
