LENOVO 81W1
Geekbench AI Score
470
Single Precision Score
304
Half Precision Score
466
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | stefanobolognini |
| Upload Date | April 04 2025 01:52 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 3250U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 81W1 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Prestazioni eccellenti |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 3250U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
305
56.7 IPS |
|
|
Image Classification (HP)
|
100% |
146
27.1 IPS |
|
|
Image Classification (Q)
|
96% |
287
53.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
231
3.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
194
3.15 IPS |
|
|
Image Segmentation (Q)
|
97% |
332
5.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
525
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
450
0.53 IPS |
|
|
Pose Estimation (Q)
|
86% |
560
0.66 IPS |
|
|
Object Detection (SP)
|
100% |
302
23.9 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.5 IPS |
|
|
Object Detection (Q)
|
58% |
226
24.7 IPS |
|
|
Face Detection (SP)
|
100% |
877
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
382
4.54 IPS |
|
|
Face Detection (Q)
|
96% |
819
9.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
731
5.63 IPS |
|
|
Depth Estimation (HP)
|
99% |
419
3.23 IPS |
|
|
Depth Estimation (Q)
|
78% |
706
5.63 IPS |
|
|
Style Transfer (SP)
|
100% |
1442
1.85 IPS |
|
|
Style Transfer (HP)
|
100% |
1231
1.58 IPS |
|
|
Style Transfer (Q)
|
87% |
1418
1.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
324
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
274
10.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
303
11.2 IPS |
|
|
Text Classification (SP)
|
100% |
319
425.3 IPS |
|
|
Text Classification (HP)
|
100% |
223
298.1 IPS |
|
|
Text Classification (Q)
|
97% |
310
414.9 IPS |
|
|
Machine Translation (SP)
|
100% |
501
8.62 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (Q)
|
68% |
528
10.2 IPS |
