LAPTOP LENOVO 82MS LENOVO 82MS
Geekbench AI Score
3873
Single Precision Score
3847
Half Precision Score
6817
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mvodya |
| Upload Date | February 03 2025 03:09 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H with Radeon Graphics |
| 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% |
2614
486.2 IPS |
|
|
Image Classification (HP)
|
100% |
2630
489.0 IPS |
|
|
Image Classification (Q)
|
100% |
4851
902.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2476
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2451
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4539
73.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5460
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
5460
6.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
12494
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
2300
182.4 IPS |
|
|
Object Detection (HP)
|
100% |
2324
184.4 IPS |
|
|
Object Detection (Q)
|
87% |
4747
380.8 IPS |
|
|
Face Detection (SP)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (Q)
|
97% |
13094
156.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6533
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6086
46.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
12716
100.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15556
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15684
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
35137
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3081
113.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3056
112.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7232
267.9 IPS |
|
|
Text Classification (SP)
|
100% |
2518
3.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2600
3.47 KIPS |
|
|
Text Classification (Q)
|
91% |
1153
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3555
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3486
60.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3404
58.6 IPS |
