LENOVO 82K2
Geekbench AI Score
1793
Single Precision Score
1003
Half Precision Score
2213
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TofuBoi |
| Upload Date | October 31 2024 09:19 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82K2 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1154
214.6 IPS |
|
|
Image Classification (HP)
|
100% |
379
70.6 IPS |
|
|
Image Classification (Q)
|
96% |
2196
410.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
860
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
1486
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2879
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2569
3.00 IPS |
|
|
Pose Estimation (Q)
|
87% |
7465
8.82 IPS |
|
|
Object Detection (SP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (HP)
|
100% |
479
38.0 IPS |
|
|
Object Detection (Q)
|
86% |
1296
104.2 IPS |
|
|
Face Detection (SP)
|
100% |
1355
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
930
11.0 IPS |
|
|
Face Detection (Q)
|
96% |
2506
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3519
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1537
11.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3771
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7684
9.88 IPS |
|
|
Style Transfer (HP)
|
100% |
6712
8.63 IPS |
|
|
Style Transfer (Q)
|
87% |
9893
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1392
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1297
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2085
77.3 IPS |
|
|
Text Classification (SP)
|
100% |
1356
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
604
806.5 IPS |
|
|
Text Classification (Q)
|
97% |
344
461.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1427
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.20 IPS |
|
|
Machine Translation (Q)
|
60% |
1335
29.8 IPS |
