LENOVO 82L5
Geekbench AI Score
1779
Single Precision Score
901
Half Precision Score
2053
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 08:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82L5 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1003
186.5 IPS |
|
|
Image Classification (HP)
|
100% |
326
60.7 IPS |
|
|
Image Classification (Q)
|
96% |
2123
396.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
532
8.62 IPS |
|
|
Image Segmentation (Q)
|
97% |
1335
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3080
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2720
3.17 IPS |
|
|
Pose Estimation (Q)
|
87% |
7186
8.49 IPS |
|
|
Object Detection (SP)
|
100% |
1217
96.5 IPS |
|
|
Object Detection (HP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (Q)
|
86% |
1151
92.6 IPS |
|
|
Face Detection (SP)
|
100% |
1597
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
939
11.2 IPS |
|
|
Face Detection (Q)
|
96% |
2509
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3598
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1310
10.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
3784
30.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7523
9.67 IPS |
|
|
Style Transfer (HP)
|
100% |
6566
8.44 IPS |
|
|
Style Transfer (Q)
|
87% |
10341
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1301
48.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1218
45.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1793
66.4 IPS |
|
|
Text Classification (SP)
|
100% |
1045
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
451
601.4 IPS |
|
|
Text Classification (Q)
|
97% |
264
353.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1345
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
414
7.13 IPS |
|
|
Machine Translation (Q)
|
60% |
1222
27.3 IPS |
