To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
1784
Single Precision Score
1821
Half Precision Score
1437
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | rfoard |
| Upload Date | August 31 2024 03:59 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRock A520M-HDV |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.67 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1678
312.0 IPS |
|
|
Image Classification (HP)
|
100% |
1668
310.2 IPS |
|
|
Image Classification (Q)
|
99% |
1023
190.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
973
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1832
2.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
1835
2.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
2632
3.08 IPS |
|
|
Object Detection (SP)
|
100% |
1675
132.9 IPS |
|
|
Object Detection (HP)
|
100% |
1668
132.3 IPS |
|
|
Object Detection (Q)
|
86% |
905
72.8 IPS |
|
|
Face Detection (SP)
|
100% |
1877
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
1876
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
2326
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1774
13.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
1777
13.7 IPS |
|
|
Depth Estimation (Q)
|
74% |
2069
16.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1858
2.39 IPS |
|
|
Style Transfer (HP)
|
100% |
1858
2.39 IPS |
|
|
Style Transfer (Q)
|
98% |
4333
5.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1677
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1686
62.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1470
54.5 IPS |
|
|
Text Classification (SP)
|
100% |
1975
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1987
2.65 KIPS |
|
|
Text Classification (Q)
|
92% |
788
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2139
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2132
36.7 IPS |
|
|
Machine Translation (Q)
|
58% |
657
15.4 IPS |
