LENOVO 81UT
Geekbench AI Score
667
Single Precision Score
394
Half Precision Score
755
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 09:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3500U |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | LENOVO 81UT |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3500U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
422
78.5 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (Q)
|
96% |
551
102.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (Q)
|
97% |
520
8.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
931
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
805
0.94 IPS |
|
|
Pose Estimation (Q)
|
86% |
1153
1.36 IPS |
|
|
Object Detection (SP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (HP)
|
100% |
184
14.6 IPS |
|
|
Object Detection (Q)
|
58% |
372
40.7 IPS |
|
|
Face Detection (SP)
|
100% |
1015
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
456
5.42 IPS |
|
|
Face Detection (Q)
|
96% |
1305
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
999
7.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
583
4.49 IPS |
|
|
Depth Estimation (Q)
|
78% |
1422
11.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2512
3.23 IPS |
|
|
Style Transfer (HP)
|
100% |
2059
2.65 IPS |
|
|
Style Transfer (Q)
|
87% |
2550
3.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
483
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
395
14.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
623
23.1 IPS |
|
|
Text Classification (SP)
|
100% |
584
779.4 IPS |
|
|
Text Classification (HP)
|
100% |
236
315.0 IPS |
|
|
Text Classification (Q)
|
97% |
234
313.2 IPS |
|
|
Machine Translation (SP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
305
5.26 IPS |
|
|
Machine Translation (Q)
|
68% |
712
13.8 IPS |
