LENOVO 82JQ
Geekbench ML Score
9158
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 23 2025 04:47 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82JQ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Performance Mode |
| 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 |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4813
900.7 IPS |
|
|
Image Classification (F16)
|
100% |
4855
908.5 IPS |
|
|
Image Classification (I8)
|
100% |
3630
679.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
6243
104.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
6182
103.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
4913
82.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
55221
66.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
63666
77.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
45583
55.2 IPS |
|
|
Object Detection (F32)
|
100% |
3435
256.4 IPS |
|
|
Object Detection (F16)
|
100% |
3469
259.0 IPS |
|
|
Object Detection (I8)
|
63% |
3151
235.3 IPS |
|
|
Face Detection (F32)
|
100% |
12507
148.7 IPS |
|
|
Face Detection (F16)
|
100% |
12482
148.4 IPS |
|
|
Face Detection (I8)
|
89% |
9814
116.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
25373
196.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
30995
240.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
19608
152.1 IPS |
|
|
Style Transfer (F32)
|
100% |
106300
139.8 IPS |
|
|
Style Transfer (F16)
|
100% |
89510
117.7 IPS |
|
|
Style Transfer (I8)
|
98% |
74034
97.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
17179
613.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16057
573.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
10685
381.6 IPS |
|
|
Text Classification (F32)
|
100% |
1577
2.27 KIPS |
|
|
Text Classification (F16)
|
100% |
1598
2.30 KIPS |
|
|
Text Classification (I8)
|
98% |
852
1.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
2345
43.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2349
43.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1276
23.5 IPS |
