LENOVO 82K1
Geekbench AI Score
6512
Single Precision Score
9871
Half Precision Score
5105
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | huntitus |
| Upload Date | February 11 2025 08:20 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 82K1 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11320H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 2 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2379
442.3 IPS |
|
|
Image Classification (HP)
|
100% |
3470
645.3 IPS |
|
|
Image Classification (Q)
|
99% |
2579
481.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3305
53.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4039
65.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2969
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
35805
41.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
94911
110.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
30483
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
3214
254.9 IPS |
|
|
Object Detection (HP)
|
100% |
4780
379.2 IPS |
|
|
Object Detection (Q)
|
84% |
2764
223.0 IPS |
|
|
Face Detection (SP)
|
100% |
7108
84.5 IPS |
|
|
Face Detection (HP)
|
100% |
9772
116.1 IPS |
|
|
Face Detection (Q)
|
97% |
6200
73.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17907
138.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
28437
219.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13532
108.0 IPS |
|
|
Style Transfer (SP)
|
100% |
51446
66.1 IPS |
|
|
Style Transfer (HP)
|
100% |
145102
186.5 IPS |
|
|
Style Transfer (Q)
|
98% |
44088
56.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10279
379.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15435
570.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7010
259.6 IPS |
|
|
Text Classification (SP)
|
100% |
1596
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1520
2.03 KIPS |
|
|
Text Classification (Q)
|
97% |
839
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1461
25.2 IPS |
|
|
Machine Translation (Q)
|
70% |
858
16.1 IPS |
