LENOVO 82JW
Geekbench AI Score
1569
Single Precision Score
932
Half Precision Score
1890
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 06:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 82JW |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Performance Mode |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1168
217.2 IPS |
|
|
Image Classification (HP)
|
100% |
349
64.9 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
580
9.40 IPS |
|
|
Image Segmentation (Q)
|
97% |
1417
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2689
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2621
3.06 IPS |
|
|
Pose Estimation (Q)
|
87% |
7324
8.65 IPS |
|
|
Object Detection (SP)
|
100% |
1068
84.7 IPS |
|
|
Object Detection (HP)
|
100% |
462
36.7 IPS |
|
|
Object Detection (Q)
|
86% |
1238
99.5 IPS |
|
|
Face Detection (SP)
|
100% |
746
8.86 IPS |
|
|
Face Detection (HP)
|
100% |
677
8.04 IPS |
|
|
Face Detection (Q)
|
96% |
1713
20.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2772
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1402
10.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
2703
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7010
9.01 IPS |
|
|
Style Transfer (HP)
|
100% |
6830
8.78 IPS |
|
|
Style Transfer (Q)
|
87% |
6233
8.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1325
48.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1314
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1808
67.0 IPS |
|
|
Text Classification (SP)
|
100% |
1511
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
560
746.9 IPS |
|
|
Text Classification (Q)
|
97% |
345
462.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1082
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
425
7.31 IPS |
|
|
Machine Translation (Q)
|
60% |
1105
24.6 IPS |
