iPhone X
Geekbench ML Score
886
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.1 for iOS AArch64
Result Information
| User | brocksuire |
| Upload Date | September 28 2021 10:46 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 15.0 |
| Model | iPhone X |
| Model ID | iPhone10,3 |
| Motherboard | D22AP |
| 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 | 2.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
627
67.2 IPS |
|
|
Image Classification (F16)
|
100% |
846
90.6 IPS |
|
|
Image Classification (I8)
|
81% |
360
38.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2012
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
3529
21.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
661
4.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
649
2.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
2172
8.79 IPS |
|
|
Pose Estimation (I8)
|
80% |
131
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
1198
42.1 IPS |
|
|
Object Detection (F16)
|
99% |
1298
45.5 IPS |
|
|
Object Detection (I8)
|
52% |
512
18.0 IPS |
|
|
Face Detection (F32)
|
100% |
2115
24.3 IPS |
|
|
Face Detection (F16)
|
97% |
4268
49.0 IPS |
|
|
Face Detection (I8)
|
75% |
487
5.59 IPS |
|
|
Text Classification (F32)
|
100% |
479
189.5 IPS |
|
|
Text Classification (F16)
|
98% |
676
267.4 IPS |
|
|
Machine Translation (F32)
|
100% |
735
113.2 IPS |
|
|
Machine Translation (F16)
|
100% |
738
113.8 IPS |
