LENOVO 82JQ
Geekbench ML Score
10762
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 06 2025 12:00 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82JQ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Balance 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 3070 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5307
993.0 IPS |
|
|
Image Classification (F16)
|
100% |
5391
1.01 KIPS |
|
|
Image Classification (I8)
|
100% |
4127
772.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
7177
119.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
7128
119.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
5792
96.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
78678
95.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
77862
94.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
64819
78.5 IPS |
|
|
Object Detection (F32)
|
100% |
3809
284.4 IPS |
|
|
Object Detection (F16)
|
100% |
3577
267.1 IPS |
|
|
Object Detection (I8)
|
63% |
3125
233.3 IPS |
|
|
Face Detection (F32)
|
100% |
14282
169.8 IPS |
|
|
Face Detection (F16)
|
100% |
14917
177.4 IPS |
|
|
Face Detection (I8)
|
89% |
11866
141.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
36210
280.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
36651
284.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
25196
195.4 IPS |
|
|
Style Transfer (F32)
|
100% |
133130
175.1 IPS |
|
|
Style Transfer (F16)
|
100% |
118126
155.4 IPS |
|
|
Style Transfer (I8)
|
98% |
98877
130.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22814
814.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21210
757.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11555
412.7 IPS |
|
|
Text Classification (F32)
|
100% |
1809
2.60 KIPS |
|
|
Text Classification (F16)
|
100% |
1592
2.29 KIPS |
|
|
Text Classification (I8)
|
98% |
1001
1.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
2379
43.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2403
44.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1266
23.3 IPS |
