LENOVO 82JQ
Geekbench ML Score
2513
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | August 18 2024 03:55 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1608
301.0 IPS |
|
|
Image Classification (F16)
|
100% |
1569
293.6 IPS |
|
|
Image Classification (I8)
|
97% |
2929
548.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1317
22.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1344
22.4 IPS |
|
|
Image Segmentation (I8)
|
97% |
1807
30.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
3985
4.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
3976
4.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
9566
11.6 IPS |
|
|
Object Detection (F32)
|
100% |
1328
99.1 IPS |
|
|
Object Detection (F16)
|
100% |
1476
110.2 IPS |
|
|
Object Detection (I8)
|
60% |
1424
106.3 IPS |
|
|
Face Detection (F32)
|
100% |
1446
17.2 IPS |
|
|
Face Detection (F16)
|
100% |
1450
17.2 IPS |
|
|
Face Detection (I8)
|
87% |
2786
33.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5292
41.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
5382
41.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
8938
69.3 IPS |
|
|
Style Transfer (F32)
|
100% |
11276
14.8 IPS |
|
|
Style Transfer (F16)
|
100% |
11385
15.0 IPS |
|
|
Style Transfer (I8)
|
85% |
11538
15.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2350
83.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2303
82.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2603
92.9 IPS |
|
|
Text Classification (F32)
|
100% |
1452
2.09 KIPS |
|
|
Text Classification (F16)
|
100% |
1448
2.08 KIPS |
|
|
Text Classification (I8)
|
94% |
340
489.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1615
29.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1613
29.7 IPS |
|
|
Machine Translation (I8)
|
67% |
1771
32.6 IPS |
