LENOVO 11R8000MUS
Geekbench AI Score
1917
Single Precision Score
2775
Half Precision Score
1360
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 07:31 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 11R8000MUS |
| Motherboard | LENOVO 32E1 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 PRO 5350G |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
728
135.4 IPS |
|
|
Image Classification (HP)
|
100% |
1080
200.8 IPS |
|
|
Image Classification (Q)
|
99% |
608
113.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
841
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1116
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
713
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7953
9.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
14363
16.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
6215
7.28 IPS |
|
|
Object Detection (SP)
|
100% |
818
64.9 IPS |
|
|
Object Detection (HP)
|
100% |
1075
85.3 IPS |
|
|
Object Detection (Q)
|
89% |
695
55.7 IPS |
|
|
Face Detection (SP)
|
100% |
1374
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
2200
26.1 IPS |
|
|
Face Detection (Q)
|
97% |
1068
12.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4006
30.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6623
51.0 IPS |
|
|
Depth Estimation (Q)
|
71% |
2856
23.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13873
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23607
30.3 IPS |
|
|
Style Transfer (Q)
|
98% |
10293
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2814
103.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4625
170.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1823
67.5 IPS |
|
|
Text Classification (SP)
|
100% |
802
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
886
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
536
717.9 IPS |
|
|
Machine Translation (SP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (Q)
|
60% |
379
8.53 IPS |
