LENOVO 20XF006GGE
Geekbench AI Score
2567
Single Precision Score
2680
Half Precision Score
4757
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| Upload Date | August 16 2024 01:40 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 5850U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | LENOVO 20XF006GGE |
| Motherboard | LENOVO 20XF006GGE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 5850U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1746
324.8 IPS |
|
|
Image Classification (HP)
|
100% |
1759
327.2 IPS |
|
|
Image Classification (Q)
|
100% |
3390
630.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1706
27.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2771
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3214
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3282
3.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
7610
8.93 IPS |
|
|
Object Detection (SP)
|
100% |
1639
130.0 IPS |
|
|
Object Detection (HP)
|
100% |
1660
131.7 IPS |
|
|
Object Detection (Q)
|
87% |
3246
260.3 IPS |
|
|
Face Detection (SP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
3122
37.1 IPS |
|
|
Face Detection (Q)
|
97% |
8694
103.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4605
35.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
4662
35.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
8913
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9851
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9675
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21471
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1914
70.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1976
73.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4419
163.7 IPS |
|
|
Text Classification (SP)
|
100% |
1627
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1638
2.19 KIPS |
|
|
Text Classification (Q)
|
91% |
1497
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1798
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2570
44.3 IPS |
|
|
Machine Translation (Q)
|
90% |
2325
40.4 IPS |
