iPhone 8
Geekbench ML Score
717
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| Upload Date | October 21 2021 06:48 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 14.8 |
| 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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
680
72.9 IPS |
|
|
Image Classification (F16)
|
100% |
788
84.4 IPS |
|
|
Image Classification (I8)
|
81% |
201
21.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1953
12.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
3486
21.5 IPS |
|
|
Image Segmentation (I8)
|
89% |
358
2.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
592
2.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
2181
8.82 IPS |
|
|
Pose Estimation (I8)
|
80% |
73
0.30 IPS |
|
|
Object Detection (F32)
|
100% |
1083
38.0 IPS |
|
|
Object Detection (F16)
|
99% |
1148
40.3 IPS |
|
|
Object Detection (I8)
|
52% |
289
10.1 IPS |
|
|
Face Detection (F32)
|
100% |
1857
21.3 IPS |
|
|
Face Detection (F16)
|
97% |
3705
42.6 IPS |
|
|
Face Detection (I8)
|
75% |
299
3.44 IPS |
|
|
Text Classification (F32)
|
100% |
484
191.5 IPS |
|
|
Text Classification (F16)
|
98% |
706
279.4 IPS |
|
|
Machine Translation (F32)
|
100% |
475
73.2 IPS |
|
|
Machine Translation (F16)
|
100% |
609
93.9 IPS |
