LENOVO 82L5
Geekbench AI Score
7868
Single Precision Score
13821
Half Precision Score
5495
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 08:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82L5 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3444
640.5 IPS |
|
|
Image Classification (HP)
|
99% |
5747
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
2643
491.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4928
79.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7448
120.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4150
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
33658
39.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
102098
119.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
28967
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
3871
307.0 IPS |
|
|
Object Detection (HP)
|
100% |
7249
575.0 IPS |
|
|
Object Detection (Q)
|
89% |
2887
231.1 IPS |
|
|
Face Detection (SP)
|
100% |
8015
95.2 IPS |
|
|
Face Detection (HP)
|
100% |
12664
150.5 IPS |
|
|
Face Detection (Q)
|
97% |
6268
74.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18583
143.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
39246
302.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
13515
108.7 IPS |
|
|
Style Transfer (SP)
|
100% |
58358
75.0 IPS |
|
|
Style Transfer (HP)
|
100% |
156003
200.5 IPS |
|
|
Style Transfer (Q)
|
98% |
48429
62.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11639
429.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20088
741.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7660
283.6 IPS |
|
|
Text Classification (SP)
|
100% |
1865
2.49 KIPS |
|
|
Text Classification (HP)
|
99% |
2267
3.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1040
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2181
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2274
39.2 IPS |
|
|
Machine Translation (Q)
|
60% |
838
18.7 IPS |
