LENOVO 82N6
Geekbench AI Score
12119
Single Precision Score
19892
Half Precision Score
8725
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JerryChou2003 |
| Upload Date | February 13 2025 11:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 82N6 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5096
947.7 IPS |
|
|
Image Classification (HP)
|
99% |
8469
1.58 KIPS |
|
|
Image Classification (Q)
|
99% |
4075
760.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7045
114.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9862
159.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5947
96.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
67370
78.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
164976
192.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
55764
65.3 IPS |
|
|
Object Detection (SP)
|
100% |
5875
466.0 IPS |
|
|
Object Detection (HP)
|
100% |
9997
793.0 IPS |
|
|
Object Detection (Q)
|
85% |
4807
387.0 IPS |
|
|
Face Detection (SP)
|
100% |
13837
164.4 IPS |
|
|
Face Detection (HP)
|
100% |
21233
252.3 IPS |
|
|
Face Detection (Q)
|
97% |
11323
135.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
31062
239.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
60848
470.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
22159
177.4 IPS |
|
|
Style Transfer (SP)
|
100% |
110640
142.2 IPS |
|
|
Style Transfer (HP)
|
100% |
271613
349.2 IPS |
|
|
Style Transfer (Q)
|
98% |
91582
118.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19544
721.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29828
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12315
456.0 IPS |
|
|
Text Classification (SP)
|
100% |
2116
2.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2685
3.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1184
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2446
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2506
43.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1175
22.0 IPS |
