iPhone 8
Geekbench ML Score
792
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| Upload Date | September 26 2022 10:10 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.0.2 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
653
70.0 IPS |
|
|
Image Classification (F16)
|
100% |
833
89.2 IPS |
|
|
Image Classification (I8)
|
81% |
324
34.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2016
12.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3493
21.6 IPS |
|
|
Image Segmentation (I8)
|
89% |
556
3.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
645
2.61 IPS |
|
|
Pose Estimation (F16)
|
100% |
2169
8.77 IPS |
|
|
Pose Estimation (I8)
|
80% |
97
0.39 IPS |
|
|
Object Detection (F32)
|
100% |
1100
38.6 IPS |
|
|
Object Detection (F16)
|
99% |
1201
42.2 IPS |
|
|
Object Detection (I8)
|
52% |
386
13.6 IPS |
|
|
Face Detection (F32)
|
100% |
1906
21.9 IPS |
|
|
Face Detection (F16)
|
97% |
3585
41.2 IPS |
|
|
Face Detection (I8)
|
75% |
349
4.01 IPS |
|
|
Text Classification (F32)
|
100% |
453
179.1 IPS |
|
|
Text Classification (F16)
|
98% |
672
265.8 IPS |
|
|
Machine Translation (F32)
|
100% |
589
90.7 IPS |
|
|
Machine Translation (F16)
|
100% |
588
90.7 IPS |
