iPhone 8
Geekbench ML Score
305
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 23 2021 02:58 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.0.1 |
| Model | iPhone 8 |
| Model ID | iPhone10,1 |
| Motherboard | D20AP |
| 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% |
225
24.1 IPS |
|
|
Image Classification (F16)
|
100% |
224
24.0 IPS |
|
|
Image Classification (I8)
|
81% |
277
29.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
377
2.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
381
2.35 IPS |
|
|
Image Segmentation (I8)
|
89% |
645
3.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
82
0.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
82
0.33 IPS |
|
|
Pose Estimation (I8)
|
80% |
114
0.46 IPS |
|
|
Object Detection (F32)
|
100% |
337
11.8 IPS |
|
|
Object Detection (F16)
|
100% |
338
11.9 IPS |
|
|
Object Detection (I8)
|
52% |
436
15.3 IPS |
|
|
Face Detection (F32)
|
100% |
419
4.81 IPS |
|
|
Face Detection (F16)
|
100% |
421
4.84 IPS |
|
|
Face Detection (I8)
|
75% |
423
4.86 IPS |
|
|
Text Classification (F32)
|
100% |
435
172.0 IPS |
|
|
Text Classification (F16)
|
100% |
434
171.8 IPS |
|
|
Machine Translation (F32)
|
100% |
488
75.2 IPS |
|
|
Machine Translation (F16)
|
100% |
486
74.9 IPS |
