LENOVO 11R8000MUS
Geekbench AI Score
2394
Single Precision Score
2401
Half Precision Score
4341
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Windows AVX2
Result Information
| Upload Date | September 02 2025 05:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 3 PRO 5350G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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% |
1522
283.0 IPS |
|
|
Image Classification (HP)
|
100% |
1509
280.6 IPS |
|
|
Image Classification (Q)
|
100% |
3023
562.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2546
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3363
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3355
3.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
7251
8.51 IPS |
|
|
Object Detection (SP)
|
100% |
1468
116.5 IPS |
|
|
Object Detection (HP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (Q)
|
87% |
2910
233.4 IPS |
|
|
Face Detection (SP)
|
100% |
2013
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
2039
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
7137
85.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4168
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4083
31.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
7756
61.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9187
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9213
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20088
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1780
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1824
67.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4272
158.2 IPS |
|
|
Text Classification (SP)
|
100% |
2011
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1999
2.67 KIPS |
|
|
Text Classification (Q)
|
91% |
1312
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2448
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2451
42.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2352
40.5 IPS |
