LENOVO 82C6
Geekbench AI Score
413
Single Precision Score
268
Half Precision Score
448
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 07:41 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Athlon Gold 3150U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82C6 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Athlon Gold 3150U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
276
51.4 IPS |
|
|
Image Classification (HP)
|
100% |
140
26.0 IPS |
|
|
Image Classification (Q)
|
96% |
298
55.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
231
3.75 IPS |
|
|
Image Segmentation (HP)
|
100% |
161
2.61 IPS |
|
|
Image Segmentation (Q)
|
97% |
324
5.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
451
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
382
0.45 IPS |
|
|
Pose Estimation (Q)
|
86% |
558
0.66 IPS |
|
|
Object Detection (SP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (HP)
|
100% |
146
11.6 IPS |
|
|
Object Detection (Q)
|
58% |
206
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
766
9.11 IPS |
|
|
Face Detection (HP)
|
100% |
359
4.27 IPS |
|
|
Face Detection (Q)
|
96% |
774
9.23 IPS |
|
|
Depth Estimation (SP)
|
100% |
622
4.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
393
3.03 IPS |
|
|
Depth Estimation (Q)
|
78% |
683
5.45 IPS |
|
|
Style Transfer (SP)
|
100% |
1226
1.58 IPS |
|
|
Style Transfer (HP)
|
100% |
1006
1.29 IPS |
|
|
Style Transfer (Q)
|
87% |
1390
1.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
261
9.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
222
8.19 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
300
11.1 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.3 IPS |
|
|
Text Classification (HP)
|
100% |
207
275.7 IPS |
|
|
Text Classification (Q)
|
97% |
298
399.7 IPS |
|
|
Machine Translation (SP)
|
100% |
452
7.78 IPS |
|
|
Machine Translation (HP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (Q)
|
68% |
455
8.79 IPS |
