LENOVO 82SC
Geekbench AI Score
11209
Single Precision Score
20383
Half Precision Score
7783
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 30 2025 02:07 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82SC |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 6600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4716
877.1 IPS |
|
|
Image Classification (HP)
|
99% |
8321
1.55 KIPS |
|
|
Image Classification (Q)
|
99% |
3759
701.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7220
117.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12032
195.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5837
94.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
49600
57.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
164544
192.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
41186
48.3 IPS |
|
|
Object Detection (SP)
|
100% |
5585
443.0 IPS |
|
|
Object Detection (HP)
|
100% |
10642
844.1 IPS |
|
|
Object Detection (Q)
|
84% |
4483
361.6 IPS |
|
|
Face Detection (SP)
|
100% |
11918
141.6 IPS |
|
|
Face Detection (HP)
|
100% |
20723
246.2 IPS |
|
|
Face Detection (Q)
|
97% |
9713
115.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27044
208.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
55061
425.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
19119
153.3 IPS |
|
|
Style Transfer (SP)
|
100% |
86331
111.0 IPS |
|
|
Style Transfer (HP)
|
100% |
223762
287.6 IPS |
|
|
Style Transfer (Q)
|
98% |
67897
87.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16644
614.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28876
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9965
369.0 IPS |
|
|
Text Classification (SP)
|
100% |
2133
2.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2778
3.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1180
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3361
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3449
59.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1358
25.5 IPS |
