LENOVO 82SB
Geekbench ML Score
7488
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 04:48 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82SB |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7535HS |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 6GB Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3870
724.2 IPS |
|
|
Image Classification (F16)
|
100% |
3893
728.4 IPS |
|
|
Image Classification (I8)
|
100% |
2963
554.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
5217
87.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
5265
87.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
4269
71.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
39318
47.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
45591
55.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
36068
43.7 IPS |
|
|
Object Detection (F32)
|
100% |
2786
208.0 IPS |
|
|
Object Detection (F16)
|
100% |
2959
220.9 IPS |
|
|
Object Detection (I8)
|
61% |
2440
182.1 IPS |
|
|
Face Detection (F32)
|
100% |
8900
105.8 IPS |
|
|
Face Detection (F16)
|
100% |
8852
105.2 IPS |
|
|
Face Detection (I8)
|
89% |
6934
82.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
18615
144.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
21343
165.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
15903
123.3 IPS |
|
|
Style Transfer (F32)
|
100% |
64708
85.1 IPS |
|
|
Style Transfer (F16)
|
100% |
64250
84.5 IPS |
|
|
Style Transfer (I8)
|
98% |
55939
73.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13682
488.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12617
450.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7733
276.2 IPS |
|
|
Text Classification (F32)
|
100% |
1697
2.44 KIPS |
|
|
Text Classification (F16)
|
100% |
1661
2.39 KIPS |
|
|
Text Classification (I8)
|
98% |
919
1.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
2641
48.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2643
48.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1294
23.8 IPS |
