LAPTOP LENOVO 82MS LENOVO 82MS
Geekbench AI Score
2889
Single Precision Score
1320
Half Precision Score
4169
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mvodya |
| Upload Date | February 03 2025 03:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | LENOVO 82MS |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2528
470.2 IPS |
|
|
Image Classification (HP)
|
100% |
507
94.2 IPS |
|
|
Image Classification (Q)
|
96% |
4705
878.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
702
11.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
2440
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4811
5.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
4037
4.71 IPS |
|
|
Pose Estimation (Q)
|
86% |
10636
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
2348
186.2 IPS |
|
|
Object Detection (HP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (Q)
|
58% |
2929
320.0 IPS |
|
|
Face Detection (SP)
|
100% |
2667
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
1121
13.3 IPS |
|
|
Face Detection (Q)
|
96% |
6248
74.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6824
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1992
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9125
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11788
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10950
14.1 IPS |
|
|
Style Transfer (Q)
|
87% |
11459
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2093
77.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1794
66.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2423
89.8 IPS |
|
|
Text Classification (SP)
|
100% |
1388
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
700
934.9 IPS |
|
|
Text Classification (Q)
|
97% |
1449
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1649
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
583
10.1 IPS |
|
|
Machine Translation (Q)
|
68% |
1936
37.4 IPS |
