LENOVO 82JQ
Geekbench ML Score
9323
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | August 18 2024 03:58 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4937
923.8 IPS |
|
|
Image Classification (F16)
|
100% |
4899
916.8 IPS |
|
|
Image Classification (I8)
|
100% |
3753
702.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
6266
104.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
6251
104.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
5048
84.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
55186
66.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
64053
77.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
54237
65.7 IPS |
|
|
Object Detection (F32)
|
100% |
3439
256.8 IPS |
|
|
Object Detection (F16)
|
100% |
3473
259.3 IPS |
|
|
Object Detection (I8)
|
63% |
3200
238.9 IPS |
|
|
Face Detection (F32)
|
100% |
12609
149.9 IPS |
|
|
Face Detection (F16)
|
100% |
12728
151.3 IPS |
|
|
Face Detection (I8)
|
89% |
10004
119.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
27338
212.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
29170
226.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
17821
138.2 IPS |
|
|
Style Transfer (F32)
|
100% |
107011
140.8 IPS |
|
|
Style Transfer (F16)
|
100% |
88432
116.3 IPS |
|
|
Style Transfer (I8)
|
98% |
74164
97.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18053
644.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16501
589.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
10797
385.6 IPS |
|
|
Text Classification (F32)
|
100% |
1614
2.32 KIPS |
|
|
Text Classification (F16)
|
100% |
1588
2.28 KIPS |
|
|
Text Classification (I8)
|
98% |
976
1.40 KIPS |
|
|
Machine Translation (F32)
|
100% |
2344
43.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2353
43.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1307
24.0 IPS |
