iPhone 8
Geekbench ML Score
382
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | June 12 2021 08:18 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.6 |
| 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% |
378
40.5 IPS |
|
|
Image Classification (F16)
|
100% |
361
38.6 IPS |
|
|
Image Classification (I8)
|
81% |
290
31.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
195
1.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
302
1.87 IPS |
|
|
Image Segmentation (I8)
|
89% |
710
4.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
150
0.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
126
0.51 IPS |
|
|
Pose Estimation (I8)
|
80% |
139
0.56 IPS |
|
|
Object Detection (F32)
|
100% |
342
12.0 IPS |
|
|
Object Detection (F16)
|
100% |
447
15.7 IPS |
|
|
Object Detection (I8)
|
52% |
487
17.1 IPS |
|
|
Face Detection (F32)
|
100% |
552
6.34 IPS |
|
|
Face Detection (F16)
|
100% |
551
6.33 IPS |
|
|
Face Detection (I8)
|
75% |
573
6.59 IPS |
|
|
Text Classification (F32)
|
100% |
579
229.0 IPS |
|
|
Text Classification (F16)
|
100% |
651
257.6 IPS |
|
|
Machine Translation (F32)
|
100% |
740
114.1 IPS |
|
|
Machine Translation (F16)
|
100% |
746
115.0 IPS |
