LENOVO 82JU
Geekbench ML Score
8917
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 24 2024 03:09 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 82JU |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
4456
833.9 IPS |
|
|
Image Classification (F16)
|
100% |
4504
842.7 IPS |
|
|
Image Classification (I8)
|
100% |
3339
624.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
6369
106.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
6169
103.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
4998
83.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
54673
66.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
58428
70.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
48714
59.0 IPS |
|
|
Object Detection (F32)
|
100% |
3482
259.9 IPS |
|
|
Object Detection (F16)
|
100% |
3460
258.3 IPS |
|
|
Object Detection (I8)
|
63% |
2969
221.6 IPS |
|
|
Face Detection (F32)
|
100% |
12519
148.9 IPS |
|
|
Face Detection (F16)
|
100% |
12432
147.8 IPS |
|
|
Face Detection (I8)
|
89% |
9557
113.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
27177
210.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
27406
212.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
18705
145.1 IPS |
|
|
Style Transfer (F32)
|
100% |
97469
128.2 IPS |
|
|
Style Transfer (F16)
|
100% |
89530
117.8 IPS |
|
|
Style Transfer (I8)
|
98% |
73133
96.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16446
587.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16452
587.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
10690
381.8 IPS |
|
|
Text Classification (F32)
|
100% |
1478
2.12 KIPS |
|
|
Text Classification (F16)
|
100% |
1535
2.21 KIPS |
|
|
Text Classification (I8)
|
98% |
887
1.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
2232
41.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2216
40.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1152
21.2 IPS |
