LENOVO 20YM
Geekbench AI Score
11362
Single Precision Score
18860
Half Precision Score
7847
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | redcasval |
| Upload Date | August 25 2024 12:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20YM |
| Motherboard | LENOVO LNVNB161216 |
| 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 | 40.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5072
943.3 IPS |
|
|
Image Classification (HP)
|
99% |
7873
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
3684
685.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6792
110.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9164
148.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5610
91.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
58343
68.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
166332
194.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
49407
57.9 IPS |
|
|
Object Detection (SP)
|
100% |
5936
470.9 IPS |
|
|
Object Detection (HP)
|
100% |
9851
781.4 IPS |
|
|
Object Detection (Q)
|
89% |
4583
367.0 IPS |
|
|
Face Detection (SP)
|
100% |
12027
142.9 IPS |
|
|
Face Detection (HP)
|
100% |
17759
211.0 IPS |
|
|
Face Detection (Q)
|
97% |
9291
110.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
29448
226.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
56519
435.4 IPS |
|
|
Depth Estimation (Q)
|
71% |
19644
163.2 IPS |
|
|
Style Transfer (SP)
|
100% |
102264
131.5 IPS |
|
|
Style Transfer (HP)
|
100% |
265776
341.7 IPS |
|
|
Style Transfer (Q)
|
98% |
82204
106.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18092
668.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30397
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12052
446.3 IPS |
|
|
Text Classification (SP)
|
100% |
2081
2.78 KIPS |
|
|
Text Classification (HP)
|
99% |
2645
3.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1143
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2204
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2246
38.7 IPS |
|
|
Machine Translation (Q)
|
60% |
916
20.4 IPS |
