LENOVO 82RG
Geekbench AI Score
12447
Single Precision Score
21194
Half Precision Score
8427
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Alan156 |
| Upload Date | October 13 2024 03:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | LENOVO 82RG |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 6800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5269
979.9 IPS |
|
|
Image Classification (HP)
|
99% |
8930
1.67 KIPS |
|
|
Image Classification (Q)
|
100% |
3759
699.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7838
127.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11919
193.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6411
104.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
65181
76.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
164586
192.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
54890
64.3 IPS |
|
|
Object Detection (SP)
|
100% |
6267
497.1 IPS |
|
|
Object Detection (HP)
|
100% |
11444
907.8 IPS |
|
|
Object Detection (Q)
|
89% |
4478
358.6 IPS |
|
|
Face Detection (SP)
|
100% |
13488
160.3 IPS |
|
|
Face Detection (HP)
|
100% |
20380
242.2 IPS |
|
|
Face Detection (Q)
|
97% |
9983
119.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
29685
228.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
57467
444.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
20864
168.1 IPS |
|
|
Style Transfer (SP)
|
100% |
105140
135.2 IPS |
|
|
Style Transfer (HP)
|
100% |
289432
372.1 IPS |
|
|
Style Transfer (Q)
|
98% |
88067
113.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19901
734.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31295
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12655
468.6 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
2889
3.86 KIPS |
|
|
Text Classification (Q)
|
97% |
1234
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2739
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2977
51.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1065
23.8 IPS |
